Triple

T14881157
Position Surface form Disambiguated ID Type / Status
Subject Tignes E350001 entity
Predicate hasPart P35 FINISHED
Object Les Brévières
Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
 E1126894 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 Brévières | Statement: [Tignes, hasPart, Les Brévières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Brévières
Context triple: [Tignes, hasPart, Les Brévières]
  • A. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Brévent
    Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
  • 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 Brévières
Triple: [Tignes, hasPart, Les Brévières]
Generated description
Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Brévières
Target entity description: Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
  • A. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Brévent
    Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
  • 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_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_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe74c098548190bf97cfae53868671 completed May 8, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe75759f1081909c3bb3b642cdc0c2 completed May 8, 2026, 11:44 p.m.
Created at: April 10, 2026, 1:55 a.m.