Triple

T5978593
Position Surface form Disambiguated ID Type / Status
Subject Wang Shu E133061 entity
Predicate workLocation P7 FINISHED
Object Hangzhou 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 | Statement: [Wang Shu, workLocation, Hangzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangzhou
Context triple: [Wang Shu, workLocation, Hangzhou]
  • 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. 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.
  • C. Jinhua
    Jinhua is a prefecture-level city in eastern China known for its historical sites, transportation hub role, and famous local ham products.
  • D. Wenzhou
    Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3e686c81908910c0881ac1624d completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41d23848190bc7835eb6313b6a5 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.