Triple

T1191343
Position Surface form Disambiguated ID Type / Status
Subject Canton of Valais E25366 entity
Predicate contains P35 FINISHED
Object Saas-Fee E99773 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: Saas-Fee | Statement: [Canton of Valais, contains, Saas-Fee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saas-Fee
Context triple: [Canton of Valais, contains, Saas-Fee]
  • A. Saas-Fee chosen
    Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
  • B. Wengen
    Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
  • C. Kandersteg
    Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
  • D. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • E. Zermatt
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • 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_69ad231945048190be6536b4a71334aa completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:45 p.m.