Triple

T15185774
Position Surface form Disambiguated ID Type / Status
Subject Chamonix ski areas E362870 entity
Predicate hasSkiArea P1981 FINISHED
Object Les Grands Montets E71809 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: Les Grands Montets | Statement: [Chamonix ski areas, hasSkiArea, Les Grands Montets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Grands Montets
Context triple: [Chamonix ski areas, hasSkiArea, Les Grands Montets]
  • A. Les Montets
    Les Montets is a small municipality in the canton of Fribourg in western Switzerland.
  • B. Grands Montets chosen
    Grands Montets is a renowned high-altitude ski area in the French Alps, famous for its challenging off-piste terrain and dramatic views of the Mont Blanc massif.
  • C. La Montagne
    La Montagne is a monumental early 20th-century sculpture by French artist Aristide Maillol, celebrated for its serene, volumetric depiction of the female form.
  • D. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • E. Aiguilles Rouges
    Aiguilles Rouges is a rugged mountain range in the French Alps known for its striking red-tinged rock peaks, hiking trails, and panoramic views of Mont Blanc.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec895b59c81908a09f8393a35aa13 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.