Triple

T10615132
Position Surface form Disambiguated ID Type / Status
Subject Zaozhuang City E276097 entity
Predicate neighboringRegion P17964 FINISHED
Object Xuzhou City E59803 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: Xuzhou City | Statement: [Zaozhuang City, neighboringRegion, Xuzhou City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xuzhou City
Context triple: [Zaozhuang City, neighboringRegion, Xuzhou City]
  • A. Xuzhou chosen
    Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
  • B. Changzhou
    Changzhou is a major industrial and commercial city in Jiangsu Province, eastern China, known for its manufacturing base and location along the Yangtze River.
  • C. Wuxi
    Wuxi is a major industrial and cultural city in eastern China, located near Lake Tai and known for its manufacturing, canals, and historic gardens.
  • D. Suqian
    Suqian is a prefecture-level city in northern Jiangsu Province, China, known for its historical sites and growing industrial and agricultural economy.
  • E. Huaian
    Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5da6808190bd4cb486431dc42c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecd44b08190bccbedd63544ba17 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.