Triple

T12287157
Position Surface form Disambiguated ID Type / Status
Subject Refuge des Oulettes de Gaube E292858 entity
Predicate nearestTown P350 FINISHED
Object Cauterets E315038 NE FINISHED

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: Cauterets | Statement: [Refuge des Oulettes de Gaube, nearestTown, Cauterets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cauterets
Context triple: [Refuge des Oulettes de Gaube, nearestTown, Cauterets]
  • A. Cauterets chosen
    Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
  • B. 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.
  • C. 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.
  • D. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • E. Mazamet
    Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718199d0819088eff94c031d2fe1 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:52 p.m.