Triple

T8461432
Position Surface form Disambiguated ID Type / Status
Subject Huangshi Municipal People's Government E200048 entity
Predicate jurisdiction P82 FINISHED
Object Huangshi City E38812 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: Huangshi City | Statement: [Huangshi Municipal People's Government, jurisdiction, Huangshi City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangshi City
Context triple: [Huangshi Municipal People's Government, jurisdiction, Huangshi City]
  • A. Huangshi chosen
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • B. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • C. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • D. Xiaogan
    Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
  • E. Pingdingshan
    Pingdingshan is a prefecture-level industrial city in central China known for its significant coal mining and energy production.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a0ff4c8190b17bbd33db632cea completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf27e1bda481909062b9259a168eb0 completed April 3, 2026, 2:37 a.m.
Created at: March 30, 2026, 6:10 p.m.