Triple

T10885790
Position Surface form Disambiguated ID Type / Status
Subject Valeyres-sous-Montagny E257041 entity
Predicate canton P3942 FINISHED
Object Vaud E64446 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: Vaud | Statement: [Valeyres-sous-Montagny, canton, Vaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaud
Context triple: [Valeyres-sous-Montagny, canton, Vaud]
  • A. Vaud chosen
    Vaud is a French-speaking canton in western Switzerland known for its picturesque Lake Geneva shoreline, Alpine scenery, and historic towns such as Lausanne and Montreux.
  • B. Gros-de-Vaud
    Gros-de-Vaud is a predominantly rural district in the canton of Vaud, Switzerland, known for its agricultural landscape and small towns.
  • 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. Port-Valais
    Port-Valais is a small Swiss municipality in the canton of Valais, located near the eastern end of Lake Geneva and known for its scenic lakeside and Rhône delta landscapes.
  • E. Upper Valais
    Upper Valais is the predominantly German-speaking, mountainous eastern part of the Swiss canton of Valais, known for its Alpine landscapes, glaciers, and major ski resorts.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a0e90e48190af6b802697d3256f completed May 3, 2026, 8:40 a.m.
Created at: April 8, 2026, 9:21 p.m.