Triple

T18126462
Position Surface form Disambiguated ID Type / Status
Subject Les Gets E433887 entity
Predicate locatedNear P294 FINISHED
Object Morzine NE NERFINISHED

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: Morzine | Statement: [Les Gets, locatedNear, Morzine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morzine
Context triple: [Les Gets, locatedNear, Morzine]
  • A. Morzine chosen
    Morzine is a popular Alpine village and ski resort in southeastern France, known for its extensive slopes, traditional Savoyard charm, and access to the Portes du Soleil ski area.
  • B. Verbier
    Verbier is a renowned Swiss alpine village and ski resort in the canton of Valais, famous for its extensive slopes, off-piste terrain, and vibrant après-ski scene.
  • C. Megève
    Megève is a renowned French Alpine village celebrated as one of the country’s most elegant and historic ski resorts, known for its upscale ambiance and scenic mountain setting.
  • D. Tignes le Lac
    Tignes le Lac is a lakeside village and ski resort area in the French Alps, forming one of the main hubs of the broader Tignes ski domain.
  • E. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddee1efc8190b04324b98de5c9d0 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.