Triple

T14437217
Position Surface form Disambiguated ID Type / Status
Subject Elgin Fringe Festival E357995 entity
Predicate usesTicketingModel P108991 FINISHED
Object button-based admission 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: button-based admission | Statement: [Elgin Fringe Festival, usesTicketingModel, button-based admission]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTicketingModel
Context triple: [Elgin Fringe Festival, usesTicketingModel, button-based admission]
  • A. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. usedForTicketType
    Indicates that something is utilized or applicable for a specific type or category of ticket.
  • C. hasTicketModel chosen
    Indicates that an entity is associated with or uses a particular ticket model or ticketing schema.
  • D. hasTicketingAuthority
    Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
  • E. usesTicketValidatorType
    Indicates that an entity employs or is associated with a specific type or category of ticket validation device or method.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:18 a.m.