Triple

T2743301
Position Surface form Disambiguated ID Type / Status
Subject Tenley Campus E60802 entity
Predicate isCampusOfPrivateUniversity P41317 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: [Tenley Campus, isCampusOfPrivateUniversity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCampusOfPrivateUniversity
Context triple: [Tenley Campus, isCampusOfPrivateUniversity, true]
  • A. isPublicUniversityCampus
    Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
  • B. isPublicInstitutionCampus
    Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
  • C. hasPublicUniversityCampus
    Indicates that a public university maintains or operates a campus at the specified location.
  • D. includesPrivateUniversities
    Indicates that the referenced set, group, or category contains one or more private universities as members.
  • E. isSpecializedCampus
    Indicates that a campus is dedicated to a specific field, discipline, or set of specialized programs rather than offering a broad, general curriculum.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb314410819095d4822f9277e6ff completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:56 p.m.