Triple

T19905591
Position Surface form Disambiguated ID Type / Status
Subject EHC Visp E478405 entity
Predicate basedIn P40 FINISHED
Object Visp NE NERFINISHED

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 | Statement: [EHC Visp, basedIn, Visp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visp
Context triple: [EHC Visp, basedIn, Visp]
  • A. Visp chosen
    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.
  • B. Silvaplana
    Silvaplana is a picturesque municipality in Switzerland’s Upper Engadine region, known for its lakes, mountain scenery, and popular wind- and kitesurfing conditions.
  • C. Wengen
    Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
  • D. 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.
  • E. Kandersteg
    Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65946916881909c3f52208c07aa64 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.