Triple

T38113186
Position Surface form Disambiguated ID Type / Status
Subject Otuabagi E951714 entity
Predicate federalCountrySubdivision P766 FINISHED
Object Nigerian state of Bayelsa 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: Nigerian state of Bayelsa | Statement: [Otuabagi, federalCountrySubdivision, Nigerian state of Bayelsa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: federalCountrySubdivision
Context triple: [Otuabagi, federalCountrySubdivision, Nigerian state of Bayelsa]
  • A. federalGovernmentSubdivision
    Indicates that one governmental entity is an administrative or political subdivision within a larger federal government structure.
  • B. countrySubdivision chosen
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • C. federalRegion
    Indicates that an entity is located within, administered by, or associated with a specific federal region or federal-level administrative division.
  • D. sharesFederalDivisionType
    Indicates that two entities are associated with the same type of federal administrative or electoral division.
  • E. associatedCountrySubdivision
    Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
  • 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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.