Triple

T17956522
Position Surface form Disambiguated ID Type / Status
Subject Zhaoqing E448964 entity
Predicate hasSubdivision P747 FINISHED
Object Deqing 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: Deqing County | Statement: [Zhaoqing, hasSubdivision, Deqing County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deqing County
Context triple: [Zhaoqing, hasSubdivision, Deqing County]
  • A. Deqing County chosen
    Deqing County is a county in northern Zhejiang Province, China, known for its scenic landscapes and popular tourist destinations such as the Moganshan mountain resort area.
  • B. Wuzhai County
    Wuzhai County is an administrative county in Shanxi Province, China, known for its mountainous terrain and location in the northern part of the province.
  • C. Qingtian County
    Qingtian County is a mountainous county in southeastern Zhejiang Province, China, known for its large overseas Chinese community and traditional stone carving.
  • D. Daishan County
    Daishan County is an island-based coastal county in Zhejiang Province, China, known for its fishing industry and maritime economy within the Zhoushan Archipelago.
  • E. Xuyong County
    Xuyong County is an administrative county in Sichuan Province, China, governed by the prefecture-level city of Luzhou.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb0afe08190964e771ec632fa1e completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.