Triple

T9717473
Position Surface form Disambiguated ID Type / Status
Subject Chongyang County E235377 entity
Predicate partOf P40 FINISHED
Object Xianning 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 | Statement: [Chongyang County, partOf, Xianning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianning
Context triple: [Chongyang County, partOf, Xianning]
  • 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. Xiuning
    Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. 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.
  • E. 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.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3d75e08190b4d86363595bd40d completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6bb34548190aac9d2af05477750 completed April 12, 2026, 3:14 p.m.
Created at: March 30, 2026, 8:20 p.m.