Triple

T25133674
Position Surface form Disambiguated ID Type / Status
Subject FR-42 E629596 entity
Predicate representsAdministrativeSubdivisionOf P19236 FINISHED
Object France 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: France | Statement: [FR-42, representsAdministrativeSubdivisionOf, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsAdministrativeSubdivisionOf
Context triple: [FR-42, representsAdministrativeSubdivisionOf, France]
  • A. representsSubdivisionOf chosen
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • B. representsCountrySubdivisionOf
    Indicates that one geopolitical unit is an administrative or territorial subdivision of another country.
  • C. administrativeTerritorialEntityOf
    Indicates that one entity serves as the administrative territorial unit or jurisdiction to which another entity belongs or is governed by.
  • D. representsSubdivision
    Indicates that one entity is a subdivision or smaller administrative/organizational unit within another, larger entity.
  • E. representsAdministrativeRegion
    Indicates that one entity serves as the administrative region or jurisdiction within which the other entity is governed or managed.
  • 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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
Created at: April 18, 2026, 6:28 a.m.