Triple

T19471560
Position Surface form Disambiguated ID Type / Status
Subject Dongyang Municipal People’s Government E487134 entity
Predicate jurisdiction P82 FINISHED
Object Dongyang 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: Dongyang | Statement: [Dongyang Municipal People’s Government, jurisdiction, Dongyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongyang
Context triple: [Dongyang Municipal People’s Government, jurisdiction, Dongyang]
  • A. Dongyang chosen
    Dongyang is a county-level city in central Zhejiang Province, China, known for its woodcarving tradition and as part of the Jinhua metropolitan area.
  • B. Yuchang
    Yuchang is a Chinese actor and singer best known for his roles in popular youth and coming-of-age films and television dramas.
  • C. Jian'ou
    Jian'ou is a county-level city in northern Fujian Province, China, administered by the prefecture-level city of Nanping and known for its historical and cultural heritage.
  • D. Danzhou
    Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
  • E. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.