Triple

T14881155
Position Surface form Disambiguated ID Type / Status
Subject Tignes E350001 entity
Predicate hasPart P35 FINISHED
Object Tignes Val Claret E350001 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: Tignes Val Claret | Statement: [Tignes, hasPart, Tignes Val Claret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tignes Val Claret
Context triple: [Tignes, hasPart, Tignes Val Claret]
  • A. Tignes chosen
    Tignes is a high-altitude ski resort and alpine commune in the French Alps, renowned for its extensive ski area and year-round glacier skiing.
  • B. Flaine
    Flaine is a purpose-built French Alpine ski resort in the Grand Massif area, known for its extensive slopes and modernist architecture.
  • C. Les Contamines-Montjoie
    Les Contamines-Montjoie is a French Alpine village and ski resort in the Haute-Savoie region, known for its mountain scenery and access to major hiking routes in the Mont Blanc massif.
  • D. La Plagne
    La Plagne is a major French Alpine ski resort renowned for its extensive slopes and role as a venue during the 1992 Albertville Winter Olympics.
  • E. La Clusaz
    La Clusaz is a well-known French Alpine village and ski resort renowned for its extensive slopes and traditional mountain charm.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff755bbe608190a9a565218eee7005 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 1:55 a.m.