Triple

T7335995
Position Surface form Disambiguated ID Type / Status
Subject Mont-Dore E169127 entity
Predicate nearbyTown P3883 FINISHED
Object La Bourboule E147859 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: La Bourboule | Statement: [Mont-Dore, nearbyTown, La Bourboule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Bourboule
Context triple: [Mont-Dore, nearbyTown, La Bourboule]
  • A. La Bourboule chosen
    La Bourboule is a spa and tourist town in central France, known for its thermal baths and Belle Époque architecture in the Massif Central.
  • B. Le Roeulx
    Le Roeulx is a historic town in the province of Hainaut in Wallonia, Belgium, known for its castle, traditional architecture, and proximity to the Canal du Centre.
  • C. Le Bémont
    Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
  • D. La Balançoire
    La Balançoire is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its playful, romantic depiction of a young woman on a swing in a lush garden.
  • E. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c51884819098fe00dd3d5e44b2 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.