Triple

T17801227
Position Surface form Disambiguated ID Type / Status
Subject Gushan Island E444430 entity
Predicate locatedIn P40 FINISHED
Object Chaohu City NE NERFINISHED

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: Chaohu City | Statement: [Gushan Island, locatedIn, Chaohu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaohu City
Context triple: [Gushan Island, locatedIn, Chaohu City]
  • A. Chaohu City chosen
    Chaohu City is a county-level city in Anhui Province, China, known for its proximity to the large freshwater Chaohu Lake and its role in regional agriculture and fisheries.
  • B. Chuzhou
    Chuzhou is a prefecture-level city in eastern China known for its location near the Yangtze River and its role as a regional transportation and agricultural hub in Anhui Province.
  • C. Chizhou
    Chizhou is a prefecture-level city in southeastern China known for its proximity to the scenic Mount Jiuhua, one of the four sacred mountains of Chinese Buddhism.
  • D. Bengbu
    Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
  • E. Wuhu
    Wuhu is a major industrial and transportation hub city in southeastern Anhui Province, eastern China, situated on the lower reaches of the Yangtze River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.