Triple

T19214353
Position Surface form Disambiguated ID Type / Status
Subject Ximen Station E480441 entity
Predicate partOf P40 FINISHED
Object Taipei Metro 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: Taipei Metro | Statement: [Ximen Station, partOf, Taipei Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taipei Metro
Context triple: [Ximen Station, partOf, Taipei Metro]
  • A. Taipei Metro chosen
    Taipei Metro is the rapid transit system serving the Taipei metropolitan area, known for its extensive network, punctual service, and cleanliness.
  • B. Taipei Metro Bannan Line
    The Taipei Metro Bannan Line is a major east–west rapid transit line in Taipei, Taiwan, connecting key commercial and residential districts across the city and into New Taipei City.
  • C. Taipei Metro Xinyi Line
    The Taipei Metro Xinyi Line is a major rapid transit route in Taipei that serves key downtown districts and popular event venues, including the area around Taipei 101.
  • D. Taipei Metro Wenhu line
    The Taipei Metro Wenhu line is an elevated, driverless rapid transit line in Taipei that connects key districts and facilities, including Taipei Songshan Airport.
  • E. Kaohsiung MRT
    Kaohsiung MRT is the rapid transit system serving the metropolitan area of Kaohsiung, Taiwan, providing urban rail transportation via multiple subway and light rail lines.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa397c188190b85bcfd9afd8dce6 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.