Triple

T27854439
Position Surface form Disambiguated ID Type / Status
Subject Shai E704044 entity
Predicate modernAdministrativeDistrict P33663 FINISHED
Object Shai-Osudoku District 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: Shai-Osudoku District | Statement: [Shai, modernAdministrativeDistrict, Shai-Osudoku District]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernAdministrativeDistrict
Context triple: [Shai, modernAdministrativeDistrict, Shai-Osudoku District]
  • A. administrativeDistrictOf chosen
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • B. administrativeDistricts
    Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
  • C. cityAdministrativeRegion
    Indicates that a city is located within or governed by a specific administrative region (such as a state, province, or similar jurisdiction).
  • D. laterAdministrativeRegion
    Indicates that an entity became part of, or was replaced by, another administrative region at a later point in time.
  • E. municipalCountrySubdivision
    Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 27, 2026, 6:13 p.m.