Triple

T1191342
Position Surface form Disambiguated ID Type / Status
Subject Canton of Valais E25366 entity
Predicate contains P35 FINISHED
Object Crans-Montana E95961 NE FINISHED

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: Crans-Montana | Statement: [Canton of Valais, contains, Crans-Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crans-Montana
Context triple: [Canton of Valais, contains, Crans-Montana]
  • A. Crans-Montana chosen
    Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
  • B. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • C. La Clusaz
    La Clusaz is a well-known French Alpine village and ski resort renowned for its extensive slopes and traditional mountain charm.
  • D. Megève
    Megève is a renowned French Alpine village celebrated as one of the country’s most elegant and historic ski resorts, known for its upscale ambiance and scenic mountain setting.
  • E. Verbier
    Verbier is a renowned Swiss alpine village and ski resort in the canton of Valais, famous for its extensive slopes, off-piste terrain, and vibrant après-ski scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd74e2c08190b4a48425f94addaa completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a02ba081908e0036a9d8bfc9f2 completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:45 p.m.