Triple

T22434958
Position Surface form Disambiguated ID Type / Status
Subject Aiguille de Tricot E554594 entity
Predicate accessPoint P1985 FINISHED
Object Les Houches 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: Les Houches | Statement: [Aiguille de Tricot, accessPoint, Les Houches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Houches
Context triple: [Aiguille de Tricot, accessPoint, Les Houches]
  • A. Les Houches chosen
    Les Houches is a French Alpine village and ski resort near Chamonix, known for its family-friendly slopes and World Cup downhill course.
  • B. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Meudon
    Meudon is a suburban commune in the southwestern outskirts of Paris, France, known historically as a residential area for artists, intellectuals, and the French elite.
  • D. Trosly-Breuil
    Trosly-Breuil is a small commune in northern France’s Oise department, known for being the founding place of the L'Arche communities for people with intellectual disabilities.
  • E. Saint-Flour
    Saint-Flour is a historic hilltop town in the Cantal department of south-central France, known for its medieval architecture and dramatic setting in the Auvergne region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adda0e48190825a5b705ae52d5b completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.