Triple

T18588440
Position Surface form Disambiguated ID Type / Status
Subject Fuzhou dialect E454297 entity
Predicate spokenIn P2266 FINISHED
Object Yongtai County 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: Yongtai County | Statement: [Fuzhou dialect, spokenIn, Yongtai County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongtai County
Context triple: [Fuzhou dialect, spokenIn, Yongtai County]
  • A. Yongtai County chosen
    Yongtai County is an administrative county under the jurisdiction of Fuzhou in Fujian Province, southeastern China, known for its mountainous landscapes and hot springs.
  • B. Yongjia County
    Yongjia County is an administrative county under the jurisdiction of Wenzhou in Zhejiang Province, eastern China, known for its mountainous landscapes and river valleys.
  • C. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • D. Yanggu County
    Yanggu County is an administrative county under the jurisdiction of Liaocheng in Shandong Province, eastern China.
  • E. Tiantai County
    Tiantai County is a county under the administration of Taizhou in Zhejiang Province, China, known for its rich Buddhist heritage and scenic mountainous landscapes.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b3e564819088e60fc25d1976f0 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.