Triple

T6917877
Position Surface form Disambiguated ID Type / Status
Subject Tongling E160108 entity
Predicate neighboringRegion P17964 FINISHED
Object Chizhou E167508 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: Chizhou | Statement: [Tongling, neighboringRegion, Chizhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chizhou
Context triple: [Tongling, neighboringRegion, Chizhou]
  • A. Chizhou chosen
    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.
  • 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. Xuancheng
    Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
  • D. 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.
  • E. Chaohu City
    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.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7584fa7208190a0c5338e20518578 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:26 p.m.