Triple

T15667
Position Surface form Disambiguated ID Type / Status
Subject New England Commission of Higher Education E312 entity
Predicate recognizedFor P753 FINISHED
Object regional accreditation of higher education in New England 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 of higher education in New England | Statement: [New England Commission of Higher Education, recognizedFor, regional accreditation of higher education in New England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizedFor
Context triple: [New England Commission of Higher Education, recognizedFor, regional accreditation of higher education in New England]
  • A. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • B. recognizedLanguage
    Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • E. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • F. None of above. chosen

Provenance (4 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240b249788190af8dbf7e80e9c91b completed Feb. 28, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69a23feae8c481908d8c50faac01fc5c completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a240b1551c81908abcae128ea45d00 completed Feb. 28, 2026, 1:11 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.