Triple

T24249067
Position Surface form Disambiguated ID Type / Status
Subject University of Bangui E603462 entity
Predicate isOnlyPublicUniversityIn P155328 FINISHED
Object Central African Republic 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: Central African Republic | Statement: [University of Bangui, isOnlyPublicUniversityIn, Central African Republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOnlyPublicUniversityIn
Context triple: [University of Bangui, isOnlyPublicUniversityIn, Central African Republic]
  • 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. isPublicUniversityCampus
    Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
  • C. isInPublicUniversity
    Indicates that an entity is located within, belongs to, or is part of a public university institution.
  • D. isOnlyPublicLawSchoolIn
    Indicates that a law school is the sole public law school located within a specified geographic or administrative region.
  • E. includesPublicUniversities
    Indicates that the subject set or collection contains one or more public universities as members.
  • 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_69e29540da0481909a38bdae315b7a02 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28b87d03c8190a38ca0c0b65ce6fc completed April 29, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c6d4e99081909f61899eccafb73e completed April 29, 2026, 8:52 a.m.
Created at: April 18, 2026, 12:04 a.m.