Triple

T9847178
Position Surface form Disambiguated ID Type / Status
Subject State Theatre (Kalamazoo) E239366 entity
Predicate hasTicketedEvents P3383 FINISHED
Object yes 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: yes | Statement: [State Theatre (Kalamazoo), hasTicketedEvents, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketedEvents
Context triple: [State Theatre (Kalamazoo), hasTicketedEvents, yes]
  • A. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. hasPublicEventsIn
    Indicates that an entity organizes or holds public events within a specified location or context.
  • C. hasCoSanctionedEventsWith
    Indicates that two entities have jointly sanctioned or approved the same events.
  • D. hasOfficialEvents
    Indicates that an entity organizes, hosts, or is associated with formally recognized or sanctioned events.
  • E. includesEvents
    Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:34 p.m.