Triple

T9096939
Position Surface form Disambiguated ID Type / Status
Subject Visp E218049 entity
Predicate district P2709 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: [Visp, district, Visp District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visp District
Context triple: [Visp, district, 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. Morges District
    Morges District is an administrative district in the canton of Vaud in western Switzerland, centered around the town of Morges on the shores of Lake Geneva.
  • C. 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.
  • D. 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.
  • E. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178be71188190bb9bdb719dd4d12d completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 7:15 p.m.