Triple

T13657825
Position Surface form Disambiguated ID Type / Status
Subject Les Trois Vallées E326907 entity
Predicate hasResort P4287 FINISHED
Object Val Thorens E483099 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: Val Thorens | Statement: [Les Trois Vallées, hasResort, Val Thorens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Thorens
Context triple: [Les Trois Vallées, hasResort, Val Thorens]
  • A. Val Thorens chosen
    Val Thorens is a high-altitude ski resort in the French Alps, renowned for its extensive slopes, reliable snow, and position within the vast Three Valleys ski area.
  • B. La Rosière
    La Rosière is a French Alpine ski resort in the Savoie region, known for its sunny slopes and cross-border ski area linked with La Thuile in Italy.
  • C. Nendaz
    Nendaz is a Swiss Alpine resort village in the canton of Valais, known for its skiing, hiking, and access to the extensive 4 Vallées ski domain.
  • D. Leysin ski area
    Leysin ski area is a Swiss Alpine ski resort known for its sunny slopes, snow parks, and panoramic views of the surrounding mountains.
  • E. Montgenèvre ski resort
    Montgenèvre ski resort is a historic French Alpine ski area on the Italian border, known for its extensive slopes, reliable snow, and inclusion in the cross-border Via Lattea (Milky Way) ski domain.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.