Triple

T20768987
Position Surface form Disambiguated ID Type / Status
Subject Belledonne E511173 entity
Predicate hasSkiArea P1981 FINISHED
Object Chamrousse 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: Chamrousse | Statement: [Belledonne, hasSkiArea, Chamrousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamrousse
Context triple: [Belledonne, hasSkiArea, Chamrousse]
  • A. Chamrousse chosen
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • B. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • C. 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.
  • D. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • E. Aiguebelle
    Aiguebelle is a small French town in the Savoie department of the Auvergne-Rhône-Alpes region, situated in the Alps near the Maurienne Valley.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24fa1b08190b09ab8fcb87b5c01 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.