Triple

T20973992
Position Surface form Disambiguated ID Type / Status
Subject Moûtiers E516575 entity
Predicate serves P98 FINISHED
Object Les Menuires 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: Les Menuires | Statement: [Moûtiers, serves, Les Menuires]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Menuires
Context triple: [Moûtiers, serves, Les Menuires]
  • A. Les Menuires chosen
    Les Menuires is a purpose-built ski resort in the French Alps, forming part of the vast Three Valleys ski area.
  • B. Le Châble
    Le Châble is a village in the Swiss canton of Valais that serves as the main gateway and transport hub for the Verbier ski area in the Val de Bagnes.
  • C. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • D. 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.
  • E. La Garde-Freinet
    La Garde-Freinet is a picturesque Provençal village in southeastern France, known for its historic hilltop setting, chestnut forests, and views over the Gulf of Saint-Tropez.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba2406c8190bd75dec585c14bfa completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:45 p.m.