SQLite format 3@ ?R>3?.<2E><0F>/<0F><0F><0B><09>x <08>?<06>^<05><03><05>)<02>t??3G!indexsqlite_autoindex_attributes_1attributesZ3yindexix_pages_project_idpagesCREATE INDEX ix_pages_project_id ON pages (project_id)W1uindexix_pages_source_idpagesCREATE INDEX ix_pages_source_id ON pages (source_id)a7<01>indexix_pages_content_hashpagesCREATE INDEX ix_pages_content_hash ON pages (content_hash)<29><01>tablepagespagesCREATE TABLE pages (
))=indexsqlite_autoindex_pages_1pages<11>O'<01>1indexix_user_profiles_external_user_iduser_profilesCREATE INDEX ix_user_profiles_external_user_id ON user_profiles (external_user_id){
C'<01>indexix_user_profiles_project_iduser_profilesCREATE INDEX ix_user_profiles_project_id ON user_profiles (project_id)<29>a''<01>tableuser_profilesuser_profiles
CREATE TABLE user_profiles (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
external_user_id VARCHAR(160) NOT NULL,
display_name VARCHAR(160),
context JSON NOT NULL,
created_at DATETIME NOT NULL,
updated_at DATETIME NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY(project_id) REFERENCES projects (id)
)g9<01>indexix_entities_project_identitiesCREATE INDEX ix_entities_project_id ON entities (project_id)j
;<01> indexix_entities_entity_typeentitiesCREATE INDEX ix_entities_entity_type ON entities (entity_type)s A<01>indexix_entities_canonical_nameentities
CREATE INDEX ix_entities_canonical_name ON entities (canonical_name)<29>l<01>+tableentitiesentitiesCREATE TABLE entities (
)/Cindexsqlite_autoindex_entities_1entities c7<01>indexix_sources_project_idsourcesCREATE INDEX ix_sources_project_id ON sources (project_id)<29><01>gtablesourcessourcesCREATE TABLE sources (
)-Aindexsqlite_autoindex_sources_1sourcesZ1uindexix_projects_domainprojectsCREATE INDEX ix_projects_domain ON projects (domain)[-{indexix_projects_nameprojectsCREATE UNIQUE INDEX ix_projects_name ON projects (name)<29>t<01>;tableprojectsprojectsCREATE TABLE projects (
++9AABrandCLONE FRAGRANCEclone fragrance{}{"ai_extracted": true}2026-05-11 10:29:03.1757402026-05-11 10:30:48.006547<EFBFBD><11>AAMoodElegantelegant{}{"ai_fallback_reason": "AI returned no usable entities or claims"}2026-05-11 02:43:06.6199492026-05-11 02:43:06.619949<EFBFBD><11>AAPerfume{#item}{#item}{}{"ai_fallback_reason": "AI returned no usable entities or claims"}2026-05-11 02:43:06.6169432026-05-11 02:43:06.616943
<0A><0F><0F><0F><0E><0A><0A>M<0E><0F><0F>Nh<0F><kPerfume1+1 기획] 912 퍼퓸 핸드크림 모음 50ml=mPerfume2+1 기획] 912 멀티 스프레이 모음 250ml:gPerfume2+2 기획] 912 실내 디퓨저 모음 250ml
8cPerfume2+1 기획] 912 샤쉐 방향제 모음 40g@sPerfume1+1 기획] 912 엑스트레 드 퍼퓸 모음 40ml<kPerfume2+1 기획] 912 클론 니치향수 모음 40ml
<0E>MJ<0E><0F><0F><0F><0F><0F><0F><0F><0F>3k1+1 기획] 912 퍼퓸 핸드크림 모음 50ml4m2+1 기획] 912 멀티 스프레이 모음 250ml1g2+2 기획] 912 실내 디퓨저 모음 250ml
/c2+1 기획] 912 샤쉐 방향제 모음 40g7s1+1 기획] 912 엑스트레 드 퍼퓸 모음 40ml3k2+1 기획] 912 클론 니치향수 모음 40ml
name brandnamenamenamenamenameprice name
j<0E>PE<0B><09><09><08>G<06>f<05><03><03>1<02>|j53G!indexsqlite_autoindex_attributes_1attributes<16>!!<01>itableattributesattributesCREATE TABLE attributes (
)Z3yindexix_pages_project_idpagesCREATE INDEX ix_pages_project_id ON pages (project_id)W1uindexix_pages_source_idpagesCREATE INDEX ix_pages_source_id ON pages (source_id)a7<01>indexix_pages_content_hashpagesCREATE INDEX ix_pages_content_hash ON pages (content_hash))=indexsqlite_autoindex_pages_1pages<11><01>tablepagespagesCREATE TABLE pages (
)<29>O'<01>1indexix_user_profiles_external_user_iduser_profilesCREATE INDEX ix_user_profiles_external_user_id ON user_profiles (external_user_id){
C'<01>indexix_user_profiles_project_iduser_profilesCREATE INDEX ix_user_profiles_project_id ON user_profiles (project_id)<29>a''<01>tableuser_profilesuser_profiles
CREATE TABLE user_profiles (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
external_user_id VARCHAR(160) NOT NULL,
display_name VARCHAR(160),
context JSON NOT NULL,
created_at DATETIME NOT NULL,
updated_at DATETIME NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY(project_id) REFERENCES projects (id)
)g9<01>indexix_entities_project_identitiesCREATE INDEX ix_entities_project_id ON entities (project_id)j
;<01> indexix_entities_entity_typeentitiesCREATE INDEX ix_entities_entity_type ON entities (entity_type)s A<01>indexix_entities_canonical_nameentities
CREATE INDEX ix_entities_canonical_name ON entities (canonical_name)/Cindexsqlite_autoindex_entities_1entities <09>l<01>+tableentitiesentitiesCREATE TABLE entities (
)c7<01>indexix_sources_project_idsourcesCREATE INDEX ix_sources_project_id ON sources (project_id)-Aindexsqlite_autoindex_sources_1sources<06><01>gtablesourcessourcesCREATE TABLE sources (
)Z1uindexix_projects_domainprojectsCREATE INDEX ix_projects_domain ON projects (domain)[-{indexix_projects_nameprojectsCREATE UNIQUE INDEX ix_projects_name ON projects (name)<29>t<01>;tableprojectsprojectsCREATE TABLE projects (
^ <09>)<07>J<04><03><00>UM*x)A'<01>indexix_feedback_logs_entity_idfeedback_logs,CREATE INDEX ix_feedback_logs_entity_id ON feedback_logs (entity_id){(C'<01>indexix_feedback_logs_project_idfeedback_logs+CREATE INDEX ix_feedback_logs_project_id ON feedback_logs (project_id)<29>
'M'<01>-indexix_feedback_logs_user_profile_idfeedback_logs*CREATE INDEX ix_feedback_logs_user_profile_id ON feedback_logs (user_profile_id)<29>g&''<01>
tablefeedback_logsfeedback_logs)CREATE TABLE feedback_logs (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
user_profile_id INTEGER NOT NULL,
entity_id INTEGER,
action VARCHAR(80) NOT NULL,
score FLOAT,
reason TEXT,
metadata_json JSON NOT NULL,
created_at DATETIME NOT NULL,
PR<50>%I-<01>%indexix_user_preferences_project_iduser_preferences(CREATE INDEX ix_user_preferences_project_id ON user_preferences (project_id)<29>$S-<01>9indexix_user_preferences_user_profile_iduser_preferences'CREATE INDEX ix_user_preferences_user_profile_id ON user_preferences (user_profile_id)3G!indexsqlite_autoindex_attributes_1attributes<00>!!<01>itableattributesattributesCREATE TABLE attributes (
)o"=!<01>
indexix_crawl_jobs_project_idcrawl_jobs%CREATE INDEX ix_crawl_jobs_project_id ON crawl_jobs (project_id)l!;!<01> indexix_crawl_jobs_source_idcrawl_jobs$CREATE INDEX ix_crawl_jobs_source_id ON crawl_jobs (source_id)<29>E !!<01>Utablecrawl_jobscrawl_jobs#CREATE TABLE crawl_jobs (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
source_id INTEGER,
url TEXT,
status VARCHAR(40) NOT NULL,
priority INTEGER NOT NULL,
scheduled_at DATETIME NOT NULL,
started_at DATETIME,
finished_at DATETIME,
error TEXT,
metadata_json JSON NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY(project_id) REFERENCES projects (id),
FOREIGN KEY(source_id) REFERENCES sources (id)
)k;<01> indexix_relations_project_idrelations"CREATE INDEX ix_relations_project_id ON relations (project_id)<29>I<01>%indexix_relations_subject_entity_idrelations!CREATE INDEX ix_relations_subject_entity_id ON relations (subject_entity_id)}G<01>!indexix_relations_object_entity_idrelations CREATE INDEX ix_relations_object_entity_id ON relations (object_entity_id)h9<01>indexix_relations_predicaterelationsCREATE INDEX ix_relations_predicate ON relations (predicate)1Eindexsqlite_autoindex_relations_1relations<1E>U<01>ytablerelationsrelationsCREATE TABLE relations (
)o=!<01>
indexix_attributes_project_idattributesCREATE INDEX ix_attributes_project_id ON attributes (project_id)l;!<01> indexix_attributes_source_idattributesCREATE INDEX ix_attributes_source_id ON attributes (source_id)l;!<01> indexix_attributes_entity_idattributesCREATE INDEX ix_attributes_entity_id ON attributes (entity_id)\1!uindexix_attributes_nameattributesCREATE INDEX ix_attributes_name ON attributes (name)
A
hasBrand?<3F>?|<7C><>hs2026-05-11 10:40:56.6089125 AhasBrand?<3F>?|<7C><>hs2026-05-11 10:40:56.6061765 AhasBrand?<3F>?|<7C><>hs2026-05-11 10:40:56.6033185 A
명확한 가격 데이터llm_json_extractoractive2026-05-11 10:29:03.1998912026-05-11 10:29:03.199893{"ai_extracted": true}<7D>z<19>[1AA9hasBrandnullentityf9f4d6ac2ebed393b894514064a803f58bd4be426f089bbf952e1ca6a83c6f2d?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>상품명에 포함된 브랜드 이름llm_json_extractoractive2026-05-11 10:29:03.1981392026-05-11 10:29:03.198142{"ai_extracted": true}<04>x<19>[1AA9soldBynullentity1124f4148489cb15f49d9a414fb52bb651ddba574369a05835c0660dda0b1de6?<3F>G<EFBFBD>z<>H브랜드와 제품의 명확한 연결llm_json_extractoractive2026-05-11 10:29:03.1903432026-05-11 10:30:48.022048{"ai_extracted": true}<7D>_<1B><07>%WAA<00>hasPrice{"amount": 35000.0, "currency": "\uc6d0"}literal4f80edc18fa1bc885ab7e6ce7cff0a23364f2b50b82e50d4ce350a98f7c3d066?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>price pattern matched; AI fallback: AI returned no usable entities or claimsllm_json_extractor_with_rule_fallbackactive2026-05-11 02:43:06.6229782026-05-11 02:43:06.622978{"ai_fallback_reason": "AI returned no usable entities or claims"}<7D>a !<19><07>'WAA<00>evokesMoodnullentity8436ee550bdfe871ba4056af6d624547f9b1c869157faf92ff65a68ed7858adb?<3F>I<>^5mood_tags rule matched; AI fallback: AI returned no usable entities or claimsllm_json_extractor_with_rule_fallbackactive2026-05-11 02:43:06.6209512026-05-11 02:43:06.620951{"ai_fallback_reason": "AI returned no usable entities oD@
r <09> h<08><08><04>\<03><03>B<02>Y<00><0F><0E>
$<0C>\>`95}indexix_evidence_claim_idevidence=CREATE INDEX ix_evidence_claim_id ON evidence (claim_id)<29>63++<01>#tableextraction_logsextraction_logs7CREATE TABLE extraction_logs (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
page_id INTEGER,
extractor_name VARCHAR(160) NOT NULL,
provider VARCHAR(120) NOT NULL,
input_hash VARCHAR(80),
raw_output JSON NOT NULL,
error TEXT,
created_at DATETIME NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY(project_id) REFERENCES projects (id),
FOREIGN KEY(page_id) REFERENCES pages (id)
)t2C<01>indexix_claims_subject_entity_idclaims6CREATE INDEX ix_claims_subject_entity_id ON claims (subject_entity_id)q1A<01>indexix_claims_object_entity_idclaims5CREATE INDEX ix_claims_object_entity_id ON claims (object_entity_id)[03yindexix_claims_source_idclaims4CREATE INDEX ix_claims_source_id ON claims (source_id)^/5}indexix_claims_claim_hashclaims3CREATE INDEX ix_claims_claim_hash ON claims (claim_hash)[.3yindexix_claims_predicateclaims2CREATE INDEX ix_claims_predicate ON claims (predicate)U-/qindexix_claims_page_idclaims1CREATE INDEX ix_claims_page_id ON claims (page_id)^,5}indexix_claims_project_idclaims0CREATE INDEX ix_claims_project_id ON claims (project_id)<29>+*<01>1tableclaimsclaims-CREATE TABLE claims (
)++?indexsqlite_autoindex_claims_1claims.x)A'<01>indexix_feedback_logs_entity_idfeedback_logs,CREATE INDEX ix_feedback_logs_entity_id ON feedback_logs (entity_id){(C'<01>indexix_feedback_logs_project_idfeedback_logs+CREATE INDEX ix_feedback_logs_project_id ON feedback_logs (project_id)<29>
'M'<01>-indexix_feedback_logs_user_profile_idfeedback_logs*CREATE INDEX ix_feedback_logs_user_profile_id ON feedback_logs (user_profile_id)<29>g&''<01>
tablefeedback_logsfeedback_logs)CREATE TABLE feedback_logs (
)]83yindexix_evidence_page_idevidence<CREATE INDEX ix_evidence_page_id ON evidence (page_id)g79<01>indexix_evidence_project_idevidence;CREATE INDEX ix_evidence_project_id ON evidence (project_id)<29>W6<01>tableevidenceevidence:CREATE TABLE evidence (
id INTEGER NOT NULL,
project_id INTEGER NOT NULL,
claim_id INTEGER NOT NULL,
page_id INTEGER,
evidence_text TEXT NOT NULL,
evidence_summary TEXT,
selector TEXT,
start_offset INTEGER,
end_offset INTEGER,
created_at DATETIME NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY(project_id) REFERENCES projects (id),
FOREIGN KEY(claim_id) REFERENCES claims (id),
FOREIGN KEY(page_id) REFERENCES pages (id)
)<29>5G+<01>!indexix_extraction_logs_project_idextraction_logs9CREATE INDEX ix_extraction_logs_project_id ON extraction_logs (project_id)z4A+<01>indexix_extraction_logs_page_idextraction_logs8CREATE INDEX ix_extraction_logs_page_id ON extraction_logs (page_id)
W1<57><0A>Allm_json_extractor_with_rule_fallbacklm_studio_fallbacka7ea4235b75783912368a7d5d76db36e2ada4672e1a0cc0fa25d1dc8a89e2dfc{"entity_count": 2, "claim_count": 2, "ai_provider": "lm_studio", "ai_model": "deepseek-r1-0528-qwen3-8b", "ai_error": "AI returned no usable entities or claims", "fallback": "rule_based"}2026-05-11 02:15:50.405486<EFBFBD>e 1<1F><0A>UAllm_json_extractorlm_studiof633aa507c4dc58d53f3f76436e01ab99f8650b9422cca9aefb3fa390c7c93cd{"provider": "lm_studio", "model": "deepseek-r1-0528-qwen3-8b", "entity_count": 2, "claim_count": 3}2026-05-11 02:10:55.159775<EFBFBD>( 1!<21>
[Aperfume_rule_basedrule_basedf633aa507c4dc58d53f3f76436e01ab99f8650b9422cca9aefb3fa390c7c93cd{"entity_count": 12, "claim_count": 12}2026-05-11 02:10:19.019353<EFBFBD>e 1<1F><0A>UAllm_json_extractorlm_studiof633aa507c4dc58d53f3f76436e01ab99f8650b9422cca9aefb3fa390c7c93cd{"provider": "lm_studio", "model": "deepseek-r1-0528-qwen3-8b", "entity_count": 2, "claim_count": 3}2026-05-08 08:44:11.182852<EFBFBD>H W1<57><0A>cAllm_json_extractor_with_rule_fallbacklm_studio_fallbackf633aa507c4dc58d53f3f76436e01ab99f8650b9422cca9aefb3fa390c7c93cd{"entity_count": 12, "claim_count": 12, "ai_provider": "lm_studio", "ai_model": "deepseek-r1-0528-qwen3-8b", "ai_error": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes <20>uW1<57><0A>;Allm_json_extractor_with_rule_fallbacklm_studio_fallbackf73f9140deb33e76acc9bd227c0039ebc25135693bd82fd8d4d48254bef3517b{"entity_count": 9, "claim_count": 15, "ai_provider": "lm_studio", "ai_model": "qwen3-8b", "ai_error": "HTTPConnectionPool(host='localhost', port=1234): Read timed out. (read timeout=300)", "fallback": "rule_based"}2026-05-11 10:40:56.617269<EFBFBD>tW1<57><0A>9Allm_json_extractor_with_rule_fallbacklm_studio_fallbackcb8c1091964cb7e35da2f6bc72da57781059a1f07cd82c15c10a1b418c75249e{"entity_count": 1, "claim_count": 0, "ai_provider": "lm_studio", "ai_model": "qwen3-8b", "ai_error": "HTTPConnectionPool(host='localhost', port=1234): Read timed out. (read timeout=300)", "fallback": "rule_based"}2026-05-11 10:35:53.607380<EFBFBD>U1<1F><0A>3Allm_json_extractorlm_studioa7ea4235b75783912368a7d5d76db36e2ada4672e1a0cc0fa25d1dc8a89e2dfc{"provider": "lm_studio", "model": "qwen3-8b", "entity_count": 3, "claim_count": 3}2026-05-11 10:30:48.024583<EFBFBD>U1<1F><0A>3Allm_json_extractorlm_studioa7ea4235b75783912368a7d5d76db36e2ada4672e1a0cc0fa25d1dc8a89e2dfc{"provider": "lm_studio", "model": "qwen3-8b", "entity_count": 3, "claim_count": 3}2026-05-11 10:29:03.201800<EFBFBD>Y W1<57><0A>Allm_json_extractor_with_rule_fallbacklm_studio_fallbacka7ea4235b75783912368a7d5d76db36e2ada4672e1a0cc0fa25d1dc8a89e2dfc{"entity_count": 2, "claim_count": 2, "ai_provider": "lm_studio", "ai_model": "deepseek-r1-0528-qwen3-8b", "ai_error": "AI returned no usable entities or claims", "fallback": "rule_based"}2026-05-11 02:43:06.622978
<0F><0F><0F><0F><0F><0F><0F><0F><0F><0F><0F>
<0F><0F><0F><0F><0F><0F><0F><0F><0F><0F><0F>
~<0E>\
<0A>u<0B>
r
F
<09> `<08><08>-<07>X<06><06>*<05>~<03>i<02>U@y<00>D<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-08 08:07:24.504797<EFBFBD>B<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-08 08:07:24.503797N -=ABase notes: Muskbase_notes includes Musk2026-05-08 08:07:24.503797X 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-08 08:07:24.502797Z C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-08 08:07:24.501797\ CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-08 08:07:24.5007973 )AExample Maison2026-05-08 08:07:24.499797)A$892026-05-08 08:07:20.042796<EFBFBD>J<09>IAple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89review_keywords includes Fresh2026-05-08 08:07:20.041795<EFBFBD>*<09>YGA
Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Office2026-05-08 08:07:20.040794<EFBFBD>B<09>EA ison Top notes: Bergamot, Neroli Middle not~<01>9A상품명: 1+1 기획] 912 퍼퓸 핸드크림 모음 50ml / 할인판매가: 9,900원2026-05-11 10:40:56.617129*A9122026-05-11 10:40:56.615071<EFBFBD><01>=A상품명: 2+1 기획] 912 멀티 스프레이 모음 250ml / 할인판매가: 19,500원2026-05-11 10:40:56.614026*A9122026-05-11 10:40:56.611726}<01>7A상품명: 2+2 기획] 912 실내 디퓨저 모음 250ml / 할인판매가: 29,500원2026-05-11 10:40:56.610790*A9122026-05-11 10:40:56.608793{<01>3A상품명: 2+1 기획] 912 샤쉐 방향제 모음 40g / 할인판매가: 29,500원2026-05-11 10:40:56.607985*A9122026-05-11 10:40:56.606039<EFBFBD><01>CA
상품명: 1+1 기획] 912 엑스트레 드 퍼퓸 모음 40ml / 할인판매가: 39,500원2026-05-11 10:40:56.605210*A9122026-05-11 10:40:56.603197<01>;A상품명: 2+1 기획] 912 클론 니치향수 모음 40ml / 할인판매가: 35,000원2026-05-11 10:40:56.602401*A
A9122026-05-11 10:40:56.596989* A9122026-05-11 10:40:56.594962<EFBFBD>)<01><03>A상품명: [2+1 기획] 912 클론 니치향수 모음 40ml제품 이름에서 '클론'과 '니치향수'로 브랜드 연결됨2026-05-11 10:30:48.025070<EFBFBD>S<>A이달의 베스트 프래그런스상품명에서 '베스트'라는 단어로 특정 계절과 연관됨2026-05-11 10:30:48.020948<EFBFBD>@<01>/<2F>A과학적인 조향으로 만들어진 클론 프래그런스 브랜드입니다.브랜드 설명에서 '클론 프래그런스' 브랜드로 언급됨2026-05-11 10:30:48.018390<EFBFBD>osA할인판매가: 35,000원 / 판매가: 72,000원가격 정보에서 할인 및 원래 가격 추출2026-05-11 10:29:03.201094<EFBFBD><01>mA상품명: [2+1 기획] 912 클론 니치향수 모음 40ml제품 이름에서 브랜드 '912'와 연결됨2026-05-11 10:29:03.199010<EFBFBD>@<01>/<2F>A과학적인 조향으로 만들어진 클론 프래그런스 브랜드입니다.브랜드 설명에서 '클론 프래그런스' 브랜드로 언급됨2026-05-11 10:29:03.195828/A35,000원2026-05-11 02:43:06.622978<EFBFBD>p<09>mAA니다. NICHE FRAGRANCE 전문 조향사가 만든 클론 향수를 만나보실 수 있습니다. HOME FRAGRANCE 내가 원하는 언제 어디든 고급 향기로 채우실 수 있습니다. 이달의 베스트 프래그런스 Best Fragrance 상품명 : [2+1 기획] 912 클론 니치향수 모음 40mlmood_tags includes Elegant2026-05-11 02:43:06.621952
RGCAFHIJKLMNOPQRBCDE<00>D<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-08 08:07:24.504797<EFBFBD>B<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-08 08:07:24.503797N -=ABase notes: Muskbase_notes includes Musk2026-05-08 08:07:24.503797X 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-08 08:07:24.502797Z C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-08 08:07:24.501797\ CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-08 08:07:24.5007973 )AExample Maison2026-05-08 08:07:24.499797)A$892026-05-08 08:07:20.042796<EFBFBD>J<09>IAple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89review_keywords includes Fresh2026-05-08 08:07:20.041795<EFBFBD>*<09>YGA
Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Office2026-05-08 08:07:20.040794<EFBFBD>B<09>EA ison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Daily2026-05-08 08:07:20.040794<EFBFBD><09>GCANeroli Summer Eau de Parfum Brand: Example Maison Top notes: Bergamot, Neroli Middle notes: Jseason_tags includes Summer2026-05-08 08:07:20.039792<EFBFBD>D<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-08 08:07:20.038791<EFBFBD>B<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-08 08:07:20.037789N -=ABase notes: Muskbase_notes includes Musk2026-05-08 08:07:20.036787X 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-08 08:07:20.036787Z C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-08 08:07:20.035722\ CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-08 08:07:20.0347213
)AExample Maison2026-05-08 08:07:20.032718)A$892026-05-08 07:59:59.874942<EFBFBD>J<09>IAple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89review_keywords includes Fresh2026-05-08 07:59:59.873940<EFBFBD>*
Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Office2026-05-08 07:59:59.872938<EFBFBD>B <09>EA ison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Daily2026-05-08 07:59:59.871935<EFBFBD><09>GCANeroli Summer Eau de Parfum Brand: Example Maison Top notes: Bergamot, Neroli Middle notes: Jseason_tags includes Summer2026-05-08 07:59:59.871935<EFBFBD>D<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-08 07:59:59.870934<EFBFBD>B<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-08 07:59:59.869932N -=ABase notes: Muskbase_notes includes Musk2026-05-08 07:59:59.868931X 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-08 07:59:59.868931Z C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-08 07:59:59.867929\ CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-08 07:59:59.8669283 )AExample Maison2026-05-08 07:59:59.864923
<00> 5;<3B>A<>o<00> https://the912.co.kr912 공식 홈페이지a7ea4235b75783912368a7d5d76db36e2ada4672e1a0cc0fa25d1dc8a89e2dfc<00>2026-05-11 10:30:48.004185{#item}
명확한 가격 데이터llm_json_extractoractive2026-05-11 10:29:03.1998912026-05-11 10:29:03.199893{"ai_extracted": true}<7D>z<19>[1AA9hasBrandnullentityf9f4d6ac2ebed393b894514064a803f58bd4be426f089bbf952e1ca6a83c6f2d?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>상품명에 포함된 브랜드 이름llm_json_extractoractive2026-05-11 10:29:03.1981392026-05-11 10:29:03.198142{"ai_extracted": true}<04>x<19>[1AA9soldBynullentity1124f4148489cb15f49d9a414fb52bb651ddba574369a05835c0660dda0b1de6?<3F>G<EFBFBD>z<>H브랜드와 제품의 명확한 연결llm_json_extractoractive2026-05-11 10:29:03.1903432026-05-11 10:30:48.022048{"ai_extracted": true}<7D>_<1B><07>%WAA<00>hasPrice{"amount": 35000.0, "currency": "\uc6d0"}literal4f80edc18fa1bc885ab7e6ce7cff0a23364f2b50b82e50d4ce350a98f7c3d066?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>price pattern matched; AI fallback: AI returned no usable entities or claimsllm_json_extractor_with_rule_fallbackactive2026-05-11 02:43:06.6229782026-05-11 02:43:06.622978{"ai_fallback_reason": "AI returned no usable entities or claims"}<7D>a !<19><07>'WAA<00>evokesMoodnullentity8436ee550bdfe871ba4056af6d624547f9b1c869157faf92ff65a68ed7858adb?<3F>I<>^5mood_tags rule matched; AI fallback: AI returned no usable entities or claimsllm_json_extractor_with_rule_fallbackactive2026-05-11 02:43:06.6209512026-05-11 02:43:06.620951{"ai_fallback_reason": "AI returned no usable entities or claims"}
<EFBFBD><00>^ /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<7D>U !<19>91AAevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.970131{}<7D>R<19>51AAhasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8699322026-05-08 08:23:56.969129{}<7D>W #<19>;1AAhasBaseNotenullentity6c06caa15e148b7de1abd88bf8ed1e607868f23f120c188d0ce4c38a343de2f9?<3F>|<7C><>hr<68>base_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8689312026-05-08 08:23:56.969129{}<7D>[ '<19>?1AAhasMiddleNotenullentity20154f4df16aac9e86fe47a4ac9dabe3cde24646553c138e3a77a2256a33f655?<3F>|<7C><>hr<68>middle_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-08 08:23:56.968127{}<00> !<19>91AAhasTopNotenullentity4ca98be6d8ecd430b3b71fa221b8656784652792d2d5a4c99340e90f8fd04041?<3F>|<7C><>hr<68>top_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-08 08:23:56.967066{}<7D> !<19><07>W1AA<00>khasTopNotenullentitybb775af8070b14444edf96d379aab4710106cddf56e4531376fc63e800f4d0ec?<3F>|<7C><>hr<68>top_notes rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot h<> !<19>91AA<00>khasTopNotenullentitybb775af8070b14444edf96d379aab4710106cddf56e4531376fc63e800f4d0ec?<3F>|<7C><>hr<68>top_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8669282026-05-11 02:10:19.006096{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
- <09> + + +<00><11>kAANoteJasminejasmine{}{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}2026-05-08 07:59:59.8609132026-05-11 02:10:55.156770<EFBFBD><11>kAANoteNerolineroli{}{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}2026-05-08 07:59:59.8609132026-05-11 02:10:55.155768V AAReviewFreshfresh{}{}2026-05-08 07:59:59.8629172026-05-08 08:23:56.962985V
AAMoodFreshfresh{}{}2026-05-08 07:59:59.8619162026-05-08 08:23:56.961957<00>AAAccordFreshfresh{}{}2026-05-08 07:59:59.8609132026-05-08 08:23:56.960956X AANoteMuskmusk{}{}2026-05-08 07:59:59.8609132026-05-08 08:23:56.960956<EFBFBD><1D>|<11>kAANoteMuskmusk{}{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}2026-05-08 07:59:59.8609132026-05-11 02:10:55.157771
E
16,000원{"parser": "generic", "url": "https://the912.co.kr/category/%EC%A0%84%EC%B2%B4-%EC%83%81%ED%92%88/44", "final_url": "https://the912.co.kr/category/%EC%A0%84%EC%B2%B4-%EC%83%81%ED%92%88/44", "page_type": "product", "depth": 1}<7D>T K;<3B>A<>K<00>3https://the912.co.kr/about.html912 공식 홈페이지cb8c1091964cb7e35da2f6bc72da57781059a1f07cd82c15c10a1b418c75249e<00>2026-05-11 10:35:53.602708현재 위치
홈
About
A good scents makes good memories.
“좋은 향기는 좋은 기억을 만듭니다."
좋은 향으로 기분 좋은 하루를 시작하고,
잠이 드는 순간에도 편안한 향으로 마무리될 수 있도록
향기로 더욱 감각적이고 모던한 무드의 일상을 선물 드립니다.
시간이 지나면 서서히 잊혀지는 순간들을
니치 향기에 새겨 오랫동안 좋은 기억으로 남길 수 있습니다.
자체 생산 제품
합리적인 가격으로 고객님께 향을 선물하기 위해
일반 도매, 유통 경로를 거치지 않고,
912번의 연구 끝에 섬세한 조향과 노하우로 향을 빚어냅니다.
성분
프랑스, 미국 및 국내외 향료사의 최고 등급 향료 사용하여
국제 향료 협회 IFRA 인증과 FITI 시험연구원의 검사로
유해 성분 및 안전성 검사를 모두 통과한 안전한 제품만을 만듭니다.{"parser": "generic", "url": "https://the912.co.kr/about.html", "final_url": "https://the912.co.kr/about.html", "page_type": "product", "depth": 1}
<EFBFBD>Mx<02><01><08>Ho<05><04><03><02><01><00>^ /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<7D>U !<19>91AAevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.970131{}<7D>R<19>51AAhasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8699322026-05-08 08:23:56.969129{}<7D>W #<19>;1AAhasBaseNotenullentity6c06caa15e148b7de1abd88bf8ed1e607868f23f120c188d0ce4c38a343de2f9?<3F>|<7C><>hr<68>base_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8689312026-05-08 08:23:56.969129{}<00> '<19>?1AAhasMiddleNotenullentity20154f4df16aac9e86fe47a4ac9dabe3cde24646553c138e3a77a2256a33f655?<3F>|<7C><>hr<68>middle_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-08 08:23:56.968127{}<7D> !<19><07>W1AA<00>khasTopNotenullentity4ca98be6d8ecd430b3b71fa221b8656784652792d2d5a4c99340e90f8fd04041?<3F>|<7C><>hr<68>top_notes rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\nThe price for this product is $87.95.\n\nExtract entities and claperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-08 08:42:30.650381{"ai_fallback_<6B> !<19>91AA<00>khasTopNotenullentity4ca98be6d8ecd430b3b71fa221b8656784652792d2d5a4c99340e90f8fd04041?<3F>|<7C><>hr<68>top_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-11 02:10:19.006096{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
y
<09><09> L <08>]<07><06>'<05><04>F<02><02>X<00>y0]A!35,000원2026-05-11 02:15:50.404387<EFBFBD>r\<01>mAA 니다. NICHE FRAGRANCE 전문 조향사가 만든 클론 향수를 만나보실 수 있습니다. HOME FRAGRANCE 내가 원하는 언제 어디든 고급 향기로 채우실 수 있습니다. 이달의 베스트 프래그런스 Best Fragrance 상품명 : [2+1 기획] 912 클론 니치향수 모음 40mlmood_tags includes Elegant2026-05-11 02:15:50.4043876[ -ABase notes: Musk2026-05-11 02:10:55.158773;Z 7AMiddle notes: Jasmine2026-05-11 02:10:55.157771AY CATop notes: Bergamot, Neroli2026-05-11 02:10:55.156770AX CATop notes: Bergamot, Neroli2026-05-11 02:10:55.155768)WA$892026-05-11 02:10:19.020353<EFBFBD>JV<09>IAple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89review_keywords includes Fresh2026-05-11 02:10:19.020353<EFBFBD>*U<09>YGA
Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Office2026-05-11 02:10:19.020353<EFBFBD>BT<09>EA ison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Daily2026-05-11 02:10:19.020353<EFBFBD>S<09>GCANeroli Summer Eau de Parfum Brand: Example Maison Top notes: Bergamot, Neroli Middle notes: Jseason_tags includes Summer2026-05-11 02:10:19.020353<EFBFBD>DR<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-11 02:10:19.020353<EFBFBD>BQ<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-11 02:10:19.020353NP -=ABase notes: Muskbase_notes includes Musk2026-05-11 02:10:19.020353XO 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-11 02:10:19.020353ZN C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-11 02:10:19.020353\M CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-11 02:10:19.0203533L )AExample Maison2026-05-11 02:10:19.0203536K -ABase notes: Musk2026-05-08 08:44:11.181850;J 7AMiddle notes: Jasmine2026-05-08 08:44:11.181850AI CATop notes: Bergamot, Neroli2026-05-08 08:44:11.180840)HA$892026-05-08 08:42:30.658392<EFBFBD>JG<09>IAple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89review_keywords includes Fresh2026-05-08 08:42:30.656389<EFBFBD>*F<09>YGA
Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Office2026-05-08 08:42:30.656389<EFBFBD>BE<09>EA ison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89occasion_tags includes Daily2026-05-08 08:42:30.655388<EFBFBD>D<09>GCANeroli Summer Eau de Parfum Brand: Example Maison Top notes: Bergamot, Neroli Middle notes: Jseason_tags includes Summer2026-05-08 08:42:30.654387<EFBFBD>DC<09>=Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89mood_tags includes Fresh2026-05-08 08:42:30.653385<EFBFBD>BB<09>9Aple Maison Top notes: Bergamot, Neroli Middle notes: Jasmine Base notes: Musk A fresh daily perfume for summer office wear. Price $89accords includes Fresh2026-05-08 08:42:30.653385NA -=ABase notes: Muskbase_notes includes Musk2026-05-08 08:42:30.652383X@ 7GAMiddle notes: Jasminemiddle_notes includes Jasmine2026-05-08 08:42:30.651382Z? C?ATop notes: Bergamot, Nerolitop_notes includes Neroli2026-05-08 08:42:30.650381\> CCATop notes: Bergamot, Nerolitop_notes includes Bergamot2026-05-08 08:42:30.650381
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:23:56.972131{}<7D>^ /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<7D>U !<19>91AAevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.970131{}<7D>R<19>51AAhasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8699322026-05-08 08:23:56.969129{}<00> #<19>;1AAhasBaseNotenullentity6c06caa15e148b7de1abd88bf8ed1e607868f23f120c188d0ce4c38a343de2f9?<3F>|<7C><>hr<68>base_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8689312026-05-08 08:23:56.969129{}<7D> '<19><07>]1AA<00>khasMiddleNotenullentity20154f4df16aac9e86fe47a4ac9dabe3cde24646553c138e3a77a2256a33f655?<3F>|<7C><>hr<68>middle_notes rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Berg<72> '<19>?1AA<00>khasMiddleNotenullentity20154f4df16aac9e86fe47a4ac9dabe3cde24646553c138e3a77a2256a33f655?<3F>|<7C><>hr<68>middle_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8679292026-05-11 02:10:19.007097{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:23:56.972131{}<7D>^ /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<7D>U !<19>91AAevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.970131{}<00><19>51AAhasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8699322026-05-08 08:23:56.969129{}<7D> #<19><07>Y1AA<00>khasBaseNotenullentity6c06caa15e148b7de1abd88bf8ed1e607868f23f120c188d0ce4c38a343de2f9?<3F>|<7C><>hr<68>base_notes rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\nThe price for this product is $87.95.\n\nExtract entities and claperfume_rule_basedactive2026-05-08 07:59:59.8689312026-05-08 08:42:30.652383{"ai_fallbac<61> #<19>;1AA<00>khasBaseNotenullentity6c06caa15e148b7de1abd88bf8ed1e607868f23f120c188d0ce4c38a343de2f9?<3F>|<7C><>hr<68>base_notes rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8689312026-05-11 02:10:19.007097{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:23:56.972131{}<7D>^ /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<00> !<19>91AAevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.970131{}<7D><19><07>S1AA<00>khasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has <20><19>51AA<00>khasAccordnullentitydf60b2ea996cdfc9f8a2da3ed55e1301ed1b7a0d03526894f278797f79d11e72?<3F><>l<EFBFBD>C<EFBFBD><43>accords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8699322026-05-11 02:10:19.008098{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:23:56.972131{}<00> /<19>=1AAsuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:23:56.971131{}<7D> !<19><07>W1AA<00>kevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\nThe price for this product is $87.95.\n\nExtract entities and claperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-08 08:42:30.653385{"ai_fallback<63> !<19>91AA<00>kevokesMoodnullentity0234454fbc113e7baaeab872d33f3b4d0481a2b2ddf8f5d1a22f316004b54048?<3F>I<>^5mood_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-11 02:10:19.008098{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:23:56.972131{}<7D> /<19><07>[1AA<00>ksuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. B<> /<19>=1AA<00>ksuitableForSeason nullentity2ac6e387b0df503be1417eff459168774306813d3d634fef2f8c7dc75aa4aab9?<3F>I<>^5season_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8709342026-05-11 02:10:19.008098{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\nThe price for this product is $87.95.\n\nExtract entities and claperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-08 08:42:30.655388{"ai_fallback_<6B> 3<19>A1AA<00>ksuitableForOccasion
nullentityc904d2e83b41b47d42fbe09eff606502bc8c0ccaaa8a1d4241da0d27cb5f9199?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8719352026-05-11 02:10:19.008098{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
3<19><07>_1AA<00>ksuitableForOccasionnullentitya8a4f41e09ad8a929d1d4d4425fcd8746f67ce447ddf3d5ed7680d1bbbb05f07?<3F><>\(<28>occasion_tags rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlai<61>
3<19>A1AA<00>ksuitableForOccasionnullentitya8a4f41e09ad8a929d1d4d4425fcd8746f67ce447ddf3d5ed7680d1bbbb05f07?<3F><>\(<28>occasion_tags rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8729382026-05-11 02:10:19.009100{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
-Ga|<05><00>oO<1B>71AAhasPrice{"amount": 89.0, "currency": "$"}literalf9d3770795eaa0786f39adc2a3f2118f2cc0344db9c879de374a6f265bd399ed?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>price pattern matchedperfume_rule_basedactive2026-05-08 07:59:59.8749422026-05-08 08:23:56.974140{}<7D> -<19><07>c1AA<00>khasReviewKeywordnullentitye2d6407bf277512f0dbdee7e0876d9113e6123837bfe7def9147a3c32b6f51a6?<3F><1C>1&<26>review_keywords rule matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\nThe price for this product is $87.95.\n\nExtract entities and claperfume_rule_basedactive2026-05-08 07:59:59.8739402026-05-08 08<30> -<19>E1AA<00>khasReviewKeywordnullentitye2d6407bf277512f0dbdee7e0876d9113e6123837bfe7def9147a3c32b6f51a6?<3F><1C>1&<26>review_keywords rule matchedperfume_rule_basedactive2026-05-08 07:59:59.8739402026-05-11 02:10:19.009100{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
<06><05>
7R_<00>S
<19>71AAhasBrandnullentity37bc7a52c54b311ee5d4dea283a669b0940a70f653deade518a6a2d93f12f8b4?<3F>&<26>x<EFBFBD><78><EFBFBD>brand pattern matchedperfume_rule_basedactive2026-05-08 08:07:32.0770592026-05-08 08:07:32.077059{}O<1B><07>U1AA<00>khasPrice{"amount": 89.0, "currency": "$"}literalf9d3770795eaa0786f39adc2a3f2118f2cc0344db9c879de374a6f265bd399ed?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>price pattern matched; AI fallback: LLM request failed 400: {"error":"Failed to parse input at pos 0: <think>\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\n\nPage text: \"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \"fresh\", \"green\" ]\n\nBrand: The brand of the perfu<66>O<1B>71AA<00>khasPrice{"amount": 89.0, "currency": "$"}literalf9d3770795eaa0786f39adc2a3f2118f2cc0344db9c879de374a6f265bd399ed?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>price pattern matchedperfume_rule_basedactive2026-05-08 07:59:59.8749422026-05-11 02:10:19.010102{"ai_fallback_reason": "LLM request failed 400: {\"error\":\"Failed to parse input at pos 0: <think>\\nFirst task is to extract ontology knowledge from the given page text based on the specified domain and entity types. The target entity types are Perfume, Brand, Note, Accord, Mood, Season, etc., but I need to return strict JSON only with the given shape.\\n\\nPage text: \\\"Nina Ricci Si by Nina Ricci is a fragrance that opens with top notes of Bergamot, Petitgrain and Coriander. Middle notes are neroli, ylang-ylang, iris, ambroxan, sandalwood, ginger. Base notes include vanilla, patchouli, cedar wood, musk, and vetiver. The mood tags for this fragrance is relaxing, fresh, suitableForSeason: spring, summer, autumn, evokesMood: romantic, day_to_night', 'suitable_for_season': ['Spring'], 'hasPrice': 120, 'review_keywords': [ \\\"fresh\\\", \\\"green\\\" ]\\n\\nBrand: The brand of the perfume is Guerlain. Bergamot has a top note with middle_notes and base notes including vanilla accord.\\nThe price for this product is $87.95.\\n\\nExtract entities and cla"}
<00>'N
o<0C><0B>
