Triple

T4846055
Position Surface form Disambiguated ID Type / Status
Subject AliExpress E108293 entity
Predicate headquartersLocation P62 FINISHED
Object Hangzhou, China E66170 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hangzhou, China | Statement: [AliExpress, headquartersLocation, Hangzhou, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangzhou, China
Context triple: [AliExpress, headquartersLocation, Hangzhou, China]
  • A. Hangzhou chosen
    Hangzhou is a major city in eastern China renowned for its historic West Lake, rich cultural heritage, and role as a key economic and technological hub in the Yangtze River Delta region.
  • B. Suzhou
    Suzhou is a historic and economically significant city in eastern China, renowned for its classical gardens, canals, and silk industry.
  • C. Jiaxing
    Jiaxing is a historic city in eastern China's Zhejiang province, best known as one of the birthplaces of the Chinese Communist Party and an important regional economic and cultural center.
  • D. Wuzhen
    Wuzhen is a historic water town in eastern China known for its ancient canals, traditional architecture, and cultural tourism.
  • E. Shaoxing
    Shaoxing is a historic city in eastern China renowned for its canals, traditional architecture, and famous rice wine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d19784c81908e256ea23889192b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77907130819084dc6a5eaff42a27 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:25 p.m.