Triple

T17763552
Position Surface form Disambiguated ID Type / Status
Subject 2020 Winter Youth Olympics E443442 entity
Predicate competitionVenue P7088 FINISHED
Object Leysin 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: Leysin | Statement: [2020 Winter Youth Olympics, competitionVenue, Leysin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leysin
Context triple: [2020 Winter Youth Olympics, competitionVenue, Leysin]
  • A. Leysin chosen
    Leysin is a Swiss alpine village and ski resort in the canton of Vaud, known for its mountain scenery, outdoor sports, and former role as a health resort.
  • B. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • C. Peisey-Vallandry
    Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
  • D. Morges
    Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
  • E. Saint-Prex
    Saint-Prex is a picturesque medieval town on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its historic old town and lakeside setting.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.