Triple

T33077062
Position Surface form Disambiguated ID Type / Status
Subject スカイライナー E846393 entity
Predicate 座席種別 P9547 FINISHED
Object 全車指定席 LITERAL 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: 全車指定席 | Statement: [スカイライナー, 座席種別, 全車指定席]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 座席種別
Context triple: [スカイライナー, 座席種別, 全車指定席]
  • A. seatClass
    Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
  • B. seatCategory chosen
    Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
  • C. seatNumber
    Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
  • D. seatOn
    Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
  • E. classesOfSeats
    Indicates the different categories or types of seats associated with something, such as a venue, vehicle, or event.
  • F. None of above.

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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:25 a.m.