Triple

T15185778
Position Surface form Disambiguated ID Type / Status
Subject Chamonix ski areas E362870 entity
Predicate hasSkiArea P1981 FINISHED
Object Les Planards E345588 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 Planards | Statement: [Chamonix ski areas, hasSkiArea, Les Planards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Planards
Context triple: [Chamonix ski areas, hasSkiArea, Les Planards]
  • A. Les Planards chosen
    Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • B. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • C. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • D. Les Brévières
    Les Brévières is a traditional Alpine village and ski base within the Tignes resort area in the French Alps.
  • E. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • 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.