Triple

T22266387
Position Surface form Disambiguated ID Type / Status
Subject DfT category E station E550361 entity
Predicate ticketingProvision P3383 FINISHED
Object may lack staffed 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: may lack staffed ticket office | Statement: [DfT category E station, ticketingProvision, may lack staffed ticket office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketingProvision
Context triple: [DfT category E station, ticketingProvision, may lack staffed ticket office]
  • A. ticketingContext
    Indicates the situational or operational context in which a ticket (such as a support, event, or issue ticket) is created, managed, or applied.
  • B. ticketingScope
    Indicates the range or domain within which ticketing actions (such as creation, assignment, or management of tickets) are valid or applicable.
  • C. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • D. ticketingProduct
    Indicates a relationship where an entity is associated with, or offered as, a ticketing-related product (such as a service or item used for issuing, managing, or selling tickets).
  • E. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bc458c81909837373d749b915d completed April 28, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69e72ff0363081909f794d19c8a64837 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:39 p.m.