Triple

T15476568
Position Surface form Disambiguated ID Type / Status
Subject Banqiao District E376794 entity
Predicate formerName P65 FINISHED
Object Banqiao City E376794 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: Banqiao City | Statement: [Banqiao District, formerName, Banqiao City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banqiao City
Context triple: [Banqiao District, formerName, Banqiao City]
  • A. Yuanping City
    Yuanping City is a county-level city in northern Shanxi Province, China, known for its location on the Loess Plateau and its role as a regional transport and agricultural hub.
  • B. Banqiao chosen
    Banqiao is a major urban district in New Taipei City, Taiwan, serving as a key transportation and commercial hub for the greater Taipei area.
  • C. Jiyuan City
    Jiyuan City is a county-level city in Henan Province, China, known for its mountainous scenery and historical sites such as Mount Wangwu.
  • 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. Leiyang City
    Leiyang City is a county-level city administered by Hengyang in Hunan Province, China, known for its long history and role as a regional industrial and transportation 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4448c08190ac640642cc8fc41f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:34 a.m.