Triple

T38185213
Position Surface form Disambiguated ID Type / Status
Subject Osisioma Ngwa E1005295 entity
Predicate stateGovernorOfJurisdiction P91442 FINISHED
Object Governor of Abia State 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: Governor of Abia State | Statement: [Osisioma Ngwa, stateGovernorOfJurisdiction, Governor of Abia State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateGovernorOfJurisdiction
Context triple: [Osisioma Ngwa, stateGovernorOfJurisdiction, Governor of Abia State]
  • A. stateGovernorJurisdiction
    Indicates that a particular state governor has official governing authority or jurisdiction over a specified geographic or political region.
  • B. governorateOf
    Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
  • C. stateOfGovernorship chosen
    Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
  • D. provinceGovernor
    Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
  • E. governorBasedIn
    Indicates that a governor carries out their official duties or has their primary office located in a specified place.
  • 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_69f76dbc22c481908139b694ffde7a0c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff255b84788190a94682f4efe1d0b8 completed May 9, 2026, 12:15 p.m.
PD Predicate disambiguation batch_69ff24f3ab108190bb017a656cff3d82 completed May 9, 2026, 12:13 p.m.
Created at: May 3, 2026, 4:29 p.m.