Triple

T33986082
Position Surface form Disambiguated ID Type / Status
Subject Tulle E871412 entity
Predicate departmentalCouncilSeatOf P9699 FINISHED
Object Corrèze department 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: Corrèze department | Statement: [Tulle, departmentalCouncilSeatOf, Corrèze department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: departmentalCouncilSeatOf
Context triple: [Tulle, departmentalCouncilSeatOf, Corrèze department]
  • A. seatOfDepartmentalCouncil chosen
    Indicates the location where a departmental council holds its official seat or headquarters.
  • B. seatOfCouncil
    Indicates that a location serves as the official meeting place or headquarters of a council.
  • C. hasDepartmentSeatRole
    Indicates that an entity holds a specific role or position associated with a seat in a particular department.
  • D. seatOfRegionalCouncil
    Indicates that a location serves as the administrative center or headquarters of a regional council.
  • E. hasMinisterialSeat
    Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
  • 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_69f3499e964c8190b674b03f6f791b4b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:50 a.m.