Triple

T92805
Position Surface form Disambiguated ID Type / Status
Subject Northwest Commission on Colleges and Universities E1865 entity
Predicate accreditationType P117 FINISHED
Object regional accreditation 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: regional accreditation | Statement: [Northwest Commission on Colleges and Universities, accreditationType, regional accreditation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accreditationType
Context triple: [Northwest Commission on Colleges and Universities, accreditationType, regional accreditation]
  • A. accreditation chosen
    Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
  • B. establishedInstitution
    Indicates that an entity founded, created, or formally set up an institution or organization.
  • C. typeOfInstitution
    Indicates the specific kind or category of institution that an entity belongs to or is classified as.
  • D. hasAwardingBodyType
    Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
  • E. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a2512ef600819084d3c627f0d534f4 completed Feb. 28, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69a24eb9a5ac8190b1d1300e8c4e3606 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.