Triple

T4298455
Position Surface form Disambiguated ID Type / Status
Subject Saas-Fee E99773 entity
Predicate locatedIn P40 FINISHED
Object Visp District E422231 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: Visp District | Statement: [Saas-Fee, locatedIn, Visp District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visp District
Context triple: [Saas-Fee, locatedIn, Visp District]
  • A. Visp District chosen
    Visp District is an administrative district in the canton of Valais in southwestern Switzerland, known for encompassing major Alpine tourist destinations such as Zermatt.
  • B. Nyon District
    Nyon District is an administrative district in the canton of Vaud in western Switzerland, situated along Lake Geneva and functioning as part of the broader Geneva metropolitan region.
  • C. Visp
    Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
  • D. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • E. Bernese Oberland
    The Bernese Oberland is a renowned mountainous region in central Switzerland famous for its dramatic Alpine scenery, lakes, and popular resorts such as Interlaken, Grindelwald, and Wengen.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb1ba5d0819097382a689002cca5 completed March 18, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:08 p.m.