Triple

T21996894
Position Surface form Disambiguated ID Type / Status
Subject INTOSAI E543228 entity
Predicate hasRegionalOrganization P2785 FINISHED
Object OLACEFS NE NERFINISHED

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: OLACEFS | Statement: [INTOSAI, hasRegionalOrganization, OLACEFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OLACEFS
Context triple: [INTOSAI, hasRegionalOrganization, OLACEFS]
  • A. OLACEFS chosen
    OLACEFS is the regional organization that brings together the supreme audit institutions of Latin American and Caribbean countries to promote cooperation, capacity building, and the strengthening of public sector auditing.
  • B. OCFS
    OCFS is the New York State agency responsible for overseeing child welfare, juvenile justice, and a range of services supporting children, youth, and families.
  • C. OLE
    OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
  • D. OLE
    OLE is the three-letter IATA airport code assigned to Cattaraugus County-Olean Airport in New York, United States.
  • E. OLA
    OLA is a laser altimeter instrument on NASA’s OSIRIS-REx spacecraft used to create detailed 3D maps of the asteroid Bennu’s surface.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.