Triple

T6782844
Position Surface form Disambiguated ID Type / Status
Subject Denton railway station E155725 entity
Predicate ticketingPolicy P3383 FINISHED
Object buy on train or in advance 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: buy on train or in advance | Statement: [Denton railway station, ticketingPolicy, buy on train or in advance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketingPolicy
Context triple: [Denton railway station, ticketingPolicy, buy on train or in advance]
  • A. ticketIncludes
    Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
  • B. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • C. ticketFormat
    Indicates the specific structure, layout, or template in which a ticket is represented or issued.
  • D. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • E. ticketingResponsibility
    Indicates responsibility for issuing, managing, or handling tickets within a given context or system.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69c6d095dcac8190bb9b943f50a7f885 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:14 p.m.