Triple

T10658657
Position Surface form Disambiguated ID Type / Status
Subject Zhang Youxia E251163 entity
Predicate placeOfBirth P1 FINISHED
Object Weinan E232726 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: Weinan | Statement: [Zhang Youxia, placeOfBirth, Weinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinan
Context triple: [Zhang Youxia, placeOfBirth, Weinan]
  • A. Weinan chosen
    Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
  • B. Lüliang
    Lüliang is a prefecture-level city in western Shanxi Province, China, known for its mountainous terrain and significant coal and energy resources.
  • C. Huayin City
    Huayin City is a county-level city in Shaanxi Province, China, best known as the gateway to the famous Mount Hua, one of China’s Five Great Mountains.
  • D. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • E. Peiting
    Peiting is a Bavarian municipality in southern Germany known for its location in the Alpine foothills and its historic market-town character.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e01643a88190abc7c16fd0f85e53 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98857ec248190bb655d36981a000a completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:07 p.m.