Triple

T27480481
Position Surface form Disambiguated ID Type / Status
Subject FR-90 E693582 entity
Predicate representsAdministrativeUnitOf P52932 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-90, representsAdministrativeUnitOf, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsAdministrativeUnitOf
Context triple: [FR-90, representsAdministrativeUnitOf, France]
  • A. representsAdministrativeUnit chosen
    Indicates that one entity serves as or corresponds to the administrative unit governing or organizing another entity.
  • B. isAdministrativeUnit
    Indicates that one entity functions as an official administrative division or unit within the governance or organizational structure of another entity.
  • C. hasAdministrativeUnit
    Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
  • D. isAdministrativeUnitWithin
    Indicates that one administrative unit is geographically or jurisdictionally contained within another administrative unit.
  • E. recognizesAdministrativeUnits
    Indicates that an entity formally acknowledges the existence, status, or authority of specified administrative units (such as regions, districts, or municipalities).
  • 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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f7805ce6208190ac6dbd9c97989978 completed May 3, 2026, 5:05 p.m.
PD Predicate disambiguation batch_69f77956ec648190ba4fb7e9d83fd107 completed May 3, 2026, 4:35 p.m.
Created at: April 27, 2026, 12:59 p.m.