Triple

T8951618
Position Surface form Disambiguated ID Type / Status
Subject Yangxin County E213362 entity
Predicate belongsTo P35 FINISHED
Object Huangshi municipal region 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 municipal region | Statement: [Yangxin County, belongsTo, Huangshi municipal region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangshi municipal region
Context triple: [Yangxin County, belongsTo, Huangshi municipal region]
  • 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. Huangshigang District
    Huangshigang District is an urban administrative district and central area of the prefecture-level city of Huangshi in Hubei Province, China.
  • C. Huangzhou District
    Huangzhou District is an urban administrative district in Hubei Province, China, serving as the political and economic center of the city of Huanggang.
  • D. Jianghan District
    Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
  • E. 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.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670dc0c88190b1f59e96ad88e4ee completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc20a5ab481909e10f3abf679ec4c completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.