Triple

T2419591
Position Surface form Disambiguated ID Type / Status
Subject Vevey E52386 entity
Predicate region P40 FINISHED
Object Riviera vaudoise E256493 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: Riviera vaudoise | Statement: [Vevey, region, Riviera vaudoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riviera vaudoise
Context triple: [Vevey, region, Riviera vaudoise]
  • A. Riviera vaudoise chosen
    Riviera vaudoise is a picturesque region along the northeastern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its vineyards, lakeside towns, and mild microclimate.
  • B. Vallée de la Dranse
    Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
  • C. La Venoge
    La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
  • D. Montgenèvre
    Montgenèvre is a French Alpine ski resort village in the Hautes-Alpes department, known for its high-altitude slopes and location near the Italian border.
  • E. Collonge-Bellerive
    Collonge-Bellerive is a lakeside municipality in western Switzerland known for its residential character and location on the southern shore of Lake Geneva.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96e1b3881909de57501b5d4099a completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af177ff6508190b549227f4cfd9876 completed March 9, 2026, 6:54 p.m.
Created at: March 6, 2026, 9:42 p.m.