Triple

T18311857
Position Surface form Disambiguated ID Type / Status
Subject Wuzhou E438644 entity
Predicate hasCounty P285 FINISHED
Object Cangwu 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: Cangwu County | Statement: [Wuzhou, hasCounty, Cangwu County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cangwu County
Context triple: [Wuzhou, hasCounty, Cangwu County]
  • A. Cangwu County chosen
    Cangwu County is an administrative county under the jurisdiction of Wuzhou City in the Guangxi Zhuang Autonomous Region of southern China, known for its rural landscapes and regional agriculture.
  • B. Cengong County
    Cengong County is an administrative county in eastern Guizhou Province, China, under the jurisdiction of the Qiandongnan Miao and Dong Autonomous Prefecture.
  • C. Cangxi County
    Cangxi County is a county in northeastern Sichuan Province, China, known as the birthplace of billionaire businessman Wang Jianlin.
  • D. Xingwen County
    Xingwen County is a county-level administrative region under the jurisdiction of Yibin City in Sichuan Province, China, known for its karst landscapes and geological park.
  • E. Wukang County
    Wukang County is an administrative county in China historically significant enough to lend its name to Shanghai’s Wukang Road.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.