Triple

T7081416
Position Surface form Disambiguated ID Type / Status
Subject Tolochenaz E164963 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Saint-Prex E278937 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: Saint-Prex | Statement: [Tolochenaz, neighboringMunicipality, Saint-Prex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Prex
Context triple: [Tolochenaz, neighboringMunicipality, Saint-Prex]
  • A. Saint-Prex chosen
    Saint-Prex is a picturesque medieval town on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its historic old town and lakeside setting.
  • B. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • C. Peisey-Vallandry
    Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
  • D. Morges
    Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
  • E. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f1f5748190b214856bcfc70d81 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbc74dac8190993f613d8219fa8d completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:40 p.m.