Triple

T19316015
Position Surface form Disambiguated ID Type / Status
Subject Les Menuires E483098 entity
Predicate connectedTo P37 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: [Les Menuires, connectedTo, Val Thorens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Thorens
Context triple: [Les Menuires, connectedTo, 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. Veysonnaz ski resort
    Veysonnaz ski resort is a Swiss Alpine destination in the 4 Vallées ski area, known for its extensive interconnected slopes and scenic views over the Rhône Valley.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d833034819092a8414d5e0fc26e completed April 20, 2026, 11:26 a.m.
Created at: April 10, 2026, 1:32 p.m.