Triple

T6949519
Position Surface form Disambiguated ID Type / Status
Subject Royal Ontario Museum Act E160883 entity
Predicate typeOfOrganizationGoverned P6125 FINISHED
Object museum 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: museum | Statement: [Royal Ontario Museum Act, typeOfOrganizationGoverned, museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfOrganizationGoverned
Context triple: [Royal Ontario Museum Act, typeOfOrganizationGoverned, museum]
  • A. organizationTypeGoverned chosen
    Indicates that one entity governs or has authoritative control over a specific type or category of organization.
  • B. governingBodyOfType
    Indicates that an entity serves as the official governing body for another entity of a specified type or category.
  • C. controlledOrganization
    Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
  • D. hasMainGoverningBody
    Indicates that an entity possesses a primary official organization or authority responsible for its overall governance or decision-making.
  • E. governedEntity
    Indicates that one entity exercises authority, control, or governance over another entity.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:29 p.m.