Triple

T4678130
Position Surface form Disambiguated ID Type / Status
Subject 4 Vallées ski area E103731 entity
Predicate contains P35 FINISHED
Object 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.
 E482378 NE FINISHED

How this triple was built (4 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: Nendaz | Statement: [4 Vallées ski area, contains, Nendaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nendaz
Context triple: [4 Vallées ski area, contains, Nendaz]
  • A. Combloux
    Combloux is a picturesque alpine village and ski resort in the Haute-Savoie department of southeastern France, known for its views of Mont Blanc.
  • B. Crans-Montana
    Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
  • C. Dent de Nendaz
    Dent de Nendaz is a mountain peak in the Swiss Pennine Alps overlooking the resort area of Nendaz in the canton of Valais.
  • D. 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.
  • E. Silvaplana
    Silvaplana is a picturesque municipality in Switzerland’s Upper Engadine region, known for its lakes, mountain scenery, and popular wind- and kitesurfing conditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nendaz
Triple: [4 Vallées ski area, contains, Nendaz]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nendaz
Target entity description: 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.
  • A. Combloux
    Combloux is a picturesque alpine village and ski resort in the Haute-Savoie department of southeastern France, known for its views of Mont Blanc.
  • B. Crans-Montana
    Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
  • C. Dent de Nendaz
    Dent de Nendaz is a mountain peak in the Swiss Pennine Alps overlooking the resort area of Nendaz in the canton of Valais.
  • D. 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.
  • E. Silvaplana
    Silvaplana is a picturesque municipality in Switzerland’s Upper Engadine region, known for its lakes, mountain scenery, and popular wind- and kitesurfing conditions.
  • F. None of above. chosen

Provenance (5 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81a32f18819093c08d05039442c4 completed March 21, 2026, 11:31 a.m.
NEDg Description generation batch_69be84733e0081908c4787d4be73d8c5 completed March 21, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69be84c3905c8190b87f685607092a20 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:16 p.m.