Triple

T15081468
Position Surface form Disambiguated ID Type / Status
Subject Huzhou E360154 entity
Predicate hasChineseName P4878 FINISHED
Object 湖州 E360154 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: 湖州 | Statement: [Huzhou, hasChineseName, 湖州]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 湖州
Context triple: [Huzhou, hasChineseName, 湖州]
  • A. 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。
  • B. 溧阳
    溧阳 is a county-level city in Jiangsu Province, China, known for its scenic Tianmu Lake area and tea production.
  • C. Huzhou chosen
    Huzhou is a prefecture-level city in eastern China known for its location on the southern shore of Lake Tai and its role as an important economic and cultural center in northern Zhejiang.
  • D. Suzhou (Anhui)
    Suzhou (Anhui) is a county-level city in northern Anhui Province, China, known as an important regional center for agriculture and light industry.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.