Triple

T15185782
Position Surface form Disambiguated ID Type / Status
Subject Chamonix ski areas E362870 entity
Predicate hasSkiArea P1981 FINISHED
Object Les Chosalets
Les Chosalets is a small family-friendly ski area near Chamonix in the French Alps, known for its gentle slopes and beginner terrain.
E1143009 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: Les Chosalets | Statement: [Chamonix ski areas, hasSkiArea, Les Chosalets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Chosalets
Context triple: [Chamonix ski areas, hasSkiArea, Les Chosalets]
  • A. Les Planards
    Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • B. Les Brévières
    Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
  • C. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • D. Leschaux
    Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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: Les Chosalets
Triple: [Chamonix ski areas, hasSkiArea, Les Chosalets]
Generated description
Les Chosalets is a small family-friendly ski area near Chamonix in the French Alps, known for its gentle slopes and beginner terrain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Les Chosalets
Target entity description: Les Chosalets is a small family-friendly ski area near Chamonix in the French Alps, known for its gentle slopes and beginner terrain.
  • A. Les Planards
    Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • B. Les Brévières
    Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
  • C. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • D. Leschaux
    Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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_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_69fed32e425c819083f10f947c258a9b completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed4ad30e08190901c73994679bff4 completed May 9, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69fed50956408190b1426d578803974e completed May 9, 2026, 6:32 a.m.
Created at: April 10, 2026, 3:09 a.m.