Triple

T21280656
Position Surface form Disambiguated ID Type / Status
Subject Montreux railway station E524511 entity
Predicate serves P98 FINISHED
Object Swiss Riviera region — NE NERFINISHED

How this triple was built (3 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: Swiss Riviera region | Statement: [Montreux railway station, serves, Swiss Riviera region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swiss Riviera region
Context triple: [Montreux railway station, serves, Swiss Riviera region]
  • A. Lake Neuchâtel region
    The Lake Neuchâtel region is a scenic area in western Switzerland known for its lakeside landscapes, historic towns, and cultural attractions.
  • B. Swiss Normandy area
    The Swiss Normandy area is a picturesque region of rolling hills, deep valleys, and outdoor recreation in southern Normandy, France, often compared to Switzerland for its rugged, scenic landscapes.
  • C. Bernese Jura region
    The Bernese Jura region is the French-speaking, predominantly rural and industrial area of the Canton of Bern in Switzerland, known for its Jura mountains landscape and watchmaking tradition.
  • D. Murten region
    The Murten region is an area in western Switzerland centered around the historic town of Murten (Morat), known for its medieval architecture, lakeside setting, and bilingual French-German cultural character.
  • E. Gstaad-Saanenland region
    The Gstaad-Saanenland region is a renowned Swiss alpine holiday area famous for its luxury ski resorts, picturesque villages, and year-round mountain tourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swiss Riviera region
Target entity description: The Swiss Riviera region is a picturesque stretch along the northeastern shore of Lake Geneva in Switzerland, famed for its mild climate, lakeside promenades, and resort towns like Montreux and Vevey.
  • A. Lake Neuchâtel region
    The Lake Neuchâtel region is a scenic area in western Switzerland known for its lakeside landscapes, historic towns, and cultural attractions.
  • B. Swiss Normandy area
    The Swiss Normandy area is a picturesque region of rolling hills, deep valleys, and outdoor recreation in southern Normandy, France, often compared to Switzerland for its rugged, scenic landscapes.
  • C. Bernese Jura region
    The Bernese Jura region is the French-speaking, predominantly rural and industrial area of the Canton of Bern in Switzerland, known for its Jura mountains landscape and watchmaking tradition.
  • D. Murten region
    The Murten region is an area in western Switzerland centered around the historic town of Murten (Morat), known for its medieval architecture, lakeside setting, and bilingual French-German cultural character.
  • E. Gstaad-Saanenland region
    The Gstaad-Saanenland region is a renowned Swiss alpine holiday area famous for its luxury ski resorts, picturesque villages, and year-round mountain tourism.
  • F. None of above. chosen

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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d186988190a5b16fcb669ece9f completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.