Triple

T1498716
Position Surface form Disambiguated ID Type / Status
Subject Xikou, Fenghua, Zhejiang, Qing Empire E29745 entity
Predicate near P350 FINISHED
Object Fenghua city E172352 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: Fenghua city | Statement: [Xikou, Fenghua, Zhejiang, Qing Empire, near, Fenghua city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fenghua city
Context triple: [Xikou, Fenghua, Zhejiang, Qing Empire, near, Fenghua city]
  • A. Fenghua chosen
    Fenghua is a county-level city in Zhejiang Province, China, known as the hometown of former Chinese leader Chiang Kai-shek.
  • B. Haining
    Haining is a county-level city in Zhejiang Province, China, known for its dramatic tidal bore on the Qiantang River and its textile industry.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • E. Xikou Town
    Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51a514908190b782eb1ca98d5b4c completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 8:12 p.m.