Triple

T1533685
Position Surface form Disambiguated ID Type / Status
Subject Creuse E32501 entity
Predicate hasDepartmentalCouncilSeat P9699 FINISHED
Object Guéret E190818 NE FINISHED

How this triple was built (3 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: Guéret | Statement: [Creuse, hasDepartmentalCouncilSeat, Guéret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guéret
Context triple: [Creuse, hasDepartmentalCouncilSeat, Guéret]
  • A. Guéret chosen
    Guéret is a small city in central France that serves as the capital of the Creuse department in the Nouvelle-Aquitaine region.
  • B. Montluçon
    Montluçon is a historic industrial town in central France known for its medieval old quarter and role as a key urban center in the Allier department.
  • C. Beaucaire
    Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
  • D. Aurillac
    Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
  • E. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDepartmentalCouncilSeat
Context triple: [Creuse, hasDepartmentalCouncilSeat, Guéret]
  • A. hasCouncilSeat
    Indicates that an entity holds a position or seat on a governing council.
  • B. hasMinisterialSeat
    Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
  • C. seatOfDepartmentalCouncil chosen
    Indicates the location where a departmental council holds its official seat or headquarters.
  • D. hasCouncilDistrict
    Indicates that an entity is located within or represented by a specific council district.
  • E. seatOfCouncil
    Indicates that a location serves as the official meeting place or headquarters of a council.
  • F. None of above.

Provenance (4 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3d408881909688667be4a32931 completed March 8, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.