Triple

T28622636
Position Surface form Disambiguated ID Type / Status
Subject Guttman E724428 entity
Predicate isPartOfPublicUniversitySystem P147275 FINISHED
Object true 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: true | Statement: [Guttman, isPartOfPublicUniversitySystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfPublicUniversitySystem
Context triple: [Guttman, isPartOfPublicUniversitySystem, true]
  • A. isPublicUniversitySystemOf
    Indicates that one entity is a public university system that serves as the overarching governing or administrative body for the other entity (typically a region, state, or country).
  • B. isInPublicUniversity chosen
    Indicates that an entity is located within, belongs to, or is part of a public university institution.
  • C. isPublicUniversityCampus
    Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
  • D. isPublicUniversityIn
    Indicates that a university is a publicly funded institution located within a specified geographic or administrative region.
  • E. hasPublicUniversityCampus
    Indicates that a public university maintains or operates a campus at the specified location.
  • 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
Created at: April 28, 2026, 4:34 a.m.