Triple

T15185781
Position Surface form Disambiguated ID Type / Status
Subject Chamonix ski areas E362870 entity
Predicate hasSkiArea P1981 FINISHED
Object Le Tourchet
Le Tourchet is a small, family-friendly ski area in Chamonix known for its gentle slopes and beginner-focused facilities.
 E1142262 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: Le Tourchet | Statement: [Chamonix ski areas, hasSkiArea, Le Tourchet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Tourchet
Context triple: [Chamonix ski areas, hasSkiArea, Le Tourchet]
  • A. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • B. Torrent de Tré-la-Tête
    Torrent de Tré-la-Tête is a mountain stream in the Mont Blanc massif of the Alps, originating from high-altitude glacial meltwater and flowing through steep alpine terrain.
  • C. Le Trait
    Le Trait is a commune in the Seine-Maritime department of northern France, situated along the Seine River within the Normandy region.
  • D. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • E. Le Guignon
    Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
  • 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: Le Tourchet
Triple: [Chamonix ski areas, hasSkiArea, Le Tourchet]
Generated description
Le Tourchet is a small, family-friendly ski area in Chamonix known for its gentle slopes and beginner-focused facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Tourchet
Target entity description: Le Tourchet is a small, family-friendly ski area in Chamonix known for its gentle slopes and beginner-focused facilities.
  • A. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • B. Torrent de Tré-la-Tête
    Torrent de Tré-la-Tête is a mountain stream in the Mont Blanc massif of the Alps, originating from high-altitude glacial meltwater and flowing through steep alpine terrain.
  • C. Le Trait
    Le Trait is a commune in the Seine-Maritime department of northern France, situated along the Seine River within the Normandy region.
  • D. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • E. Le Guignon
    Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
  • 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_69fec895b59c81908a09f8393a35aa13 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec9ece2fc8190811e83185cdb4dfc completed May 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69fecc58d7b0819082090b6205b77b16 completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.