Triple

T19413687
Position Surface form Disambiguated ID Type / Status
Subject Huaqiangbei commercial area E485652 entity
Predicate transportConnection P1298 FINISHED
Object Huaqiang Road Station 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: Huaqiang Road Station | Statement: [Huaqiangbei commercial area, transportConnection, Huaqiang Road Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huaqiang Road Station
Context triple: [Huaqiangbei commercial area, transportConnection, Huaqiang Road Station]
  • A. Huaqiang North Station
    Huaqiang North Station is a metro station serving Shenzhen’s major electronics and commercial district of Huaqiangbei.
  • B. Huaqiang Road station chosen
    Huaqiang Road station is a Shenzhen Metro station serving the busy Huaqiangbei electronics and commercial district in Shenzhen, China.
  • C. Haizhu Square Station
    Haizhu Square Station is a major underground metro station in central Guangzhou, China, serving as a key transit point near the Pearl River and the historic Haizhu Square area.
  • D. Xintiandi station
    Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
  • E. Dongmen Station
    Dongmen Station is a key Taipei Metro interchange hub connecting multiple subway lines in central Taipei, Taiwan.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af834fc81908cb176076de10c1c completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.