Triple

T17925126
Position Surface form Disambiguated ID Type / Status
Subject Belleville valley E448173 entity
Predicate hasSettlement P1068 FINISHED
Object Val Thorens 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: Val Thorens | Statement: [Belleville valley, hasSettlement, Val Thorens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Thorens
Context triple: [Belleville valley, hasSettlement, Val Thorens]
  • A. Val Thorens chosen
    Val Thorens is a high-altitude ski resort in the French Alps, renowned for its extensive slopes, reliable snow, and position within the vast Three Valleys ski area.
  • B. La Rosière
    La Rosière is a French Alpine ski resort in the Savoie region, known for its sunny slopes and cross-border ski area linked with La Thuile in Italy.
  • C. Nendaz
    Nendaz is a Swiss Alpine resort village in the canton of Valais, known for its skiing, hiking, and access to the extensive 4 Vallées ski domain.
  • D. Peisey-Vallandry ski area
    Peisey-Vallandry ski area is a French Alpine ski destination in the Tarentaise Valley, known for its traditional villages, tree-lined slopes, and integration into the larger Paradiski domain.
  • E. Leysin ski area
    Leysin ski area is a Swiss Alpine ski resort known for its sunny slopes, snow parks, and panoramic views of the surrounding mountains.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.