Triple

T1837721
Position Surface form Disambiguated ID Type / Status
Subject Jiang Zemin E41103 entity
Predicate birthPlace P1 FINISHED
Object Yangzhou, Jiangsu, China E138757 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: Yangzhou, Jiangsu, China | Statement: [Jiang Zemin, birthPlace, Yangzhou, Jiangsu, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangzhou, Jiangsu, China
Context triple: [Jiang Zemin, birthPlace, Yangzhou, Jiangsu, China]
  • A. Yangzhou chosen
    Yangzhou is a historic city in eastern China renowned for its canals, gardens, and role as a major cultural and commercial center along the Grand Canal.
  • B. Zhenjiang
    Zhenjiang is a historic port city in eastern China known for its strategic location on the Yangtze River and its rich cultural and culinary heritage.
  • C. 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.
  • D. Yancheng
    Yancheng is a coastal prefecture-level city in eastern China known for its wetlands, nature reserves, and rapidly developing economy.
  • E. Dongyang, Zhejiang, China
    Dongyang is a county-level city in central Zhejiang Province, eastern China, known for its thriving private economy, woodcarving and architectural craftsmanship, and proximity to the manufacturing hub of Yiwu.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0380a4c81909a2ad0bfd97c884a completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c23f9c81909b7d524448351060 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.