Triple

T22847916
Position Surface form Disambiguated ID Type / Status
Subject Yixing E566273 entity
Predicate hasChineseName P4878 FINISHED
Object 宜兴 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: 宜兴 | Statement: [Yixing, hasChineseName, 宜兴]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 宜兴
Context triple: [Yixing, hasChineseName, 宜兴]
  • A. 溧阳
    溧阳 is a county-level city in Jiangsu Province, China, known for its scenic Tianmu Lake area and tea production.
  • B. 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.
  • C. Yixing chosen
    Yixing is a county-level city in southern Jiangsu Province, China, renowned for its traditional purple clay teapots and ceramics.
  • D. 祁门
    祁门是位于中国安徽省南部黄山市下辖的一个县,以出产著名的祁门红茶而闻名。
  • E. 泰州
    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。
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e89ab348190a31260221195ae67 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.