Triple

T4062053
Position Surface form Disambiguated ID Type / Status
Subject Matterhorn Gotthard Bahn E86234 entity
Predicate routeTerminus P388 FINISHED
Object Visp E218049 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 | Statement: [Matterhorn Gotthard Bahn, routeTerminus, Visp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visp
Context triple: [Matterhorn Gotthard Bahn, routeTerminus, 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 (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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd60cc081908764fcc8206bc1ef completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6f942248190b390cf3cdbbbab5e completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:38 p.m.