Triple

T25307883
Position Surface form Disambiguated ID Type / Status
Subject Hot Spot E634529 entity
Predicate hasTicket P161453 FINISHED
Object playslip or terminal-generated ticket 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: playslip or terminal-generated ticket | Statement: [Hot Spot, hasTicket, playslip or terminal-generated ticket]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicket
Context triple: [Hot Spot, hasTicket, playslip or terminal-generated ticket]
  • A. hasTicketAccess
    Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
  • B. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • C. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • D. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • E. hasTicketBarrier
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • F. None of above. chosen

Provenance (4 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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f613bc641c819084343cc78d080640 completed May 2, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69f611a72780819082f44e66ca2c6ac9 completed May 2, 2026, 3 p.m.
PDg Predicate description generation batch_69f613502d808190b89927e5e734b43a completed May 2, 2026, 3:08 p.m.
Created at: April 21, 2026, 1:25 p.m.