Triple

T1268827
Position Surface form Disambiguated ID Type / Status
Subject Burntisland railway station E15662 entity
Predicate hasTicketPurchaseOptions P3383 FINISHED
Object ticket office 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: ticket office | Statement: [Burntisland railway station, hasTicketPurchaseOptions, ticket office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketPurchaseOptions
Context triple: [Burntisland railway station, hasTicketPurchaseOptions, ticket office]
  • A. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • C. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • D. bookingOption
    Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
  • E. hasConcessions
    Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c03aaa8c8190bacb7de5a38329da completed March 1, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69a4bede52a081909665d60acbe41d31 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.