Triple

T6499227
Position Surface form Disambiguated ID Type / Status
Subject Langfang E148838 entity
Predicate hasCounty P285 FINISHED
Object Yongqing County E389619 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: Yongqing County | Statement: [Langfang, hasCounty, Yongqing County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongqing County
Context triple: [Langfang, hasCounty, Yongqing County]
  • A. Yongqing County chosen
    Yongqing County is an administrative county in Hebei Province, China, situated just south of Beijing and known for its proximity to the capital’s Daxing District.
  • B. Yangxin County
    Yangxin County is an administrative county under the jurisdiction of Huangshi City in southeastern Hubei Province, China, known for its rural landscapes and growing industrial development.
  • C. Qiuxian County
    Qiuxian County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Linquan County
    Linquan County is an administrative county in western Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • E. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad1c46c819089db43e7c3a8d160 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb1f649c8190bcc26f15d7a4faca completed March 27, 2026, 6:23 p.m.
Created at: March 27, 2026, 1:41 p.m.