Triple

T8572348
Position Surface form Disambiguated ID Type / Status
Subject Valais E202956 entity
Predicate containsTown P847 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: [Valais, containsTown, Crans-Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crans-Montana
Context triple: [Valais, containsTown, 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. Crans-près-Céligny
    Crans-près-Céligny is a Swiss lakeside municipality in the canton of Vaud, known for its scenic location on the shores of Lake Geneva near the city of Nyon.
  • 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. Combloux
    Combloux is a picturesque alpine village and ski resort in the Haute-Savoie department of southeastern France, known for its views of Mont Blanc.
  • E. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6ea4fadc8190ade74e4fdf890056 completed April 3, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:21 p.m.