Triple

T5553230
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 座席クラス P50616 FINISHED
Object 普通車 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: 普通車 | Statement: [湘南新宿ライン, 座席クラス, 普通車]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 座席クラス
Context triple: [湘南新宿ライン, 座席クラス, 普通車]
  • A. seatClass chosen
    Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
  • B. seatCategory
    Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
  • C. classesOfSeats
    Indicates the different categories or types of seats associated with something, such as a venue, vehicle, or event.
  • D. seatOn
    Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
  • E. hasCabinClass
    Indicates that an entity (such as a booking, ticket, or seat) is associated with a specific cabin class (e.g., economy, business, first).
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:35 p.m.