Triple

T8636586
Position Surface form Disambiguated ID Type / Status
Subject Jingmen Municipal People's Government E204538 entity
Predicate province P604 FINISHED
Object Hubei E5772 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: Hubei | Statement: [Jingmen Municipal People's Government, province, Hubei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubei
Context triple: [Jingmen Municipal People's Government, province, Hubei]
  • A. Hubei Province chosen
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • B. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • C. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • D. Jiangsu
    Jiangsu is a populous and economically significant coastal province in eastern China, known for its rich history, dense urbanization, and major cities such as Nanjing and Suzhou.
  • E. Jiangxi Province
    Jiangxi Province is an inland province in southeastern China known for its rich revolutionary history, porcelain production in Jingdezhen, and scenic landscapes such as Lushan Mountain and Poyang Lake.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4760fa448190862c886bc5a6ec10 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc1842608190bc0fd78e28aa324d completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 6:27 p.m.