Triple

T9503375
Position Surface form Disambiguated ID Type / Status
Subject Jiayu County E229198 entity
Predicate isSubdivisionOf P747 FINISHED
Object Xianning City E42010 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: Xianning City | Statement: [Jiayu County, isSubdivisionOf, Xianning City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianning City
Context triple: [Jiayu County, isSubdivisionOf, Xianning City]
  • A. Xianning chosen
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • B. Zunhua City
    Zunhua City is a county-level city in northeastern Hebei Province, China, known for its historical sites and administrative affiliation with the prefecture-level city of Tangshan.
  • C. Enshi City
    Enshi City is a county-level city in southwestern Hubei Province, China, known for its mountainous karst landscapes and role as a cultural center for the Tujia and Miao ethnic groups.
  • D. Xiuning
    Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
  • E. Zaoyang City
    Zaoyang City is a county-level city in Hubei Province, China, known for its historical significance and agricultural 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9840148081908df237f212b62e67 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89eedc66c81909076cc7ba35f9da5 completed April 10, 2026, 6:55 a.m.
Created at: March 30, 2026, 7:57 p.m.