Triple

T30660917
Position Surface form Disambiguated ID Type / Status
Subject King Studios, Cincinnati, Ohio E780523 entity
Predicate integratedOperations P108880 FINISHED
Object recording 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: recording | Statement: [King Studios, Cincinnati, Ohio, integratedOperations, recording]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: integratedOperations
Context triple: [King Studios, Cincinnati, Ohio, integratedOperations, recording]
  • A. integratesInfrastructure
    Indicates that one entity combines or coordinates infrastructure components or systems of another entity into a unified, functioning whole.
  • B. integratedI_O
    Indicates that one entity has integrated input/output functionality or operations with another entity, treating their I/O processes as a unified system.
  • C. operationOf
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • D. hasITOperationsIn
    Indicates that an entity conducts or maintains information technology (IT) operations within a specified location or organizational unit.
  • E. operationalService chosen
    Indicates that one entity provides, performs, or is responsible for carrying out a particular service or operation for 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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 29, 2026, 8:31 p.m.