Triple

T14356938
Position Surface form Disambiguated ID Type / Status
Subject Governor of Bauchi State E355993 entity
Predicate eligibleCandidateMust P83633 FINISHED
Object be a citizen of Nigeria by birth 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: be a citizen of Nigeria by birth | Statement: [Governor of Bauchi State, eligibleCandidateMust, be a citizen of Nigeria by birth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleCandidateMust
Context triple: [Governor of Bauchi State, eligibleCandidateMust, be a citizen of Nigeria by birth]
  • A. eligibleFrom
    Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
  • B. eligibleOn
    Indicates the date or condition from which something qualifies to begin or be considered valid or applicable.
  • C. eligibleIn
    Indicates that an entity meets the necessary conditions or criteria to qualify for participation, use, or consideration within a specified context, domain, or scope.
  • D. eligibleAppointees
    Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
  • E. eligiblePersons chosen
    Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:15 a.m.