Triple

T23285263
Position Surface form Disambiguated ID Type / Status
Subject 泰州 E588968 entity
Predicate 市政府驻地 P761 FINISHED
Object 海陵区 — 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: 海陵区 | Statement: [泰州, 市政府驻地, 海陵区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 海陵区
Context triple: [泰州, 市政府驻地, 海陵区]
  • A. 宿迁市
    宿迁市 is a prefecture-level city in northern Jiangsu Province, China, known for its historical connection to the Huai River region and rapid modern development.
  • B. 泰州 chosen
    泰州是中国江苏省中部的一座历史文化名城和重要港口城市，以长江水运、制造业和传统美食而闻名。
  • C. 常熟市
    常熟市 is a county-level city in Jiangsu Province, China, known for its developed manufacturing industry, historical sites, and location within the Yangtze River Delta economic region.
  • D. Yancheng District
    Yancheng District is an urban administrative district that serves as the political and economic center of Luohe City in Henan Province, China.
  • E. Huaiyin District
    Huaiyin District is an urban administrative district of Huai'an City in Jiangsu Province, China, known for its role as one of the city's central areas.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.