Triple

T16124216
Position Surface form Disambiguated ID Type / Status
Subject Tamsui–Xinyi line E391223 entity
Predicate hasStation P35 FINISHED
Object Guandu 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: Guandu station | Statement: [Tamsui–Xinyi line, hasStation, Guandu station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guandu station
Context triple: [Tamsui–Xinyi line, hasStation, Guandu station]
  • A. Guandu Station chosen
    Guandu Station is a metro station in Taipei, Taiwan, serving the Tamsui-Xinyi (Red) Line of the Taipei Metro system.
  • B. Guanyinsi station
    Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
  • C. Tucheng station
    Tucheng station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Bannan line.
  • D. Guting station
    Guting station is a Taipei Metro interchange station in Taiwan, serving as a transfer point between multiple subway lines.
  • E. Songshan Station
    Songshan Station is a major terminal and transfer hub on Taipei’s metro system, serving the eastern end of the Green Line and connecting to regional rail services.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
Created at: April 10, 2026, 5 a.m.