Triple

T20038113
Position Surface form Disambiguated ID Type / Status
Subject Bao’an Center station E497332 entity
Predicate locatedIn P40 FINISHED
Object Bao’an District NE NERFINISHED

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: Bao’an District | Statement: [Bao’an Center station, locatedIn, Bao’an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bao’an District
Context triple: [Bao’an Center station, locatedIn, Bao’an District]
  • A. Bao’an District chosen
    Bao’an District is a major urban district in the northwest of Shenzhen, China, known for its extensive industrial base, dense residential areas, and integration into the city’s metro network.
  • B. Kecheng District
    Kecheng District is the central urban district and administrative seat of Quzhou City in Zhejiang Province, China.
  • C. Xiqing District
    Xiqing District is an administrative district in the southwestern part of Tianjin, China, known for its mix of urban development, transportation hubs, and industrial zones.
  • D. Baoan District
    Baoan District is a major administrative district in Shenzhen, China, known as one of the city’s original and rapidly developing industrial and residential hubs.
  • E. Hongqi District
    Hongqi District is an urban administrative district within the prefecture-level city of Xinxiang in Henan Province, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.