Triple

T21534907
Position Surface form Disambiguated ID Type / Status
Subject Vernier E531325 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Satigny NE NERFINISHED

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: Satigny | Statement: [Vernier, hasNeighboringMunicipality, Satigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satigny
Context triple: [Vernier, hasNeighboringMunicipality, Satigny]
  • A. Satigny chosen
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • B. Tavigny
    Tavigny is a village in the Walloon region of Belgium, located in the province of Luxembourg.
  • C. Céligny
    Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
  • D. Cossonay
    Cossonay is a historic municipality in the canton of Vaud in western Switzerland, known for its medieval old town and scenic setting above the Venoge River valley.
  • E. Martigny
    Martigny is a historic town in southwestern Switzerland known as a cultural and transportation hub in the canton of Valais, near the Great St. Bernard Pass.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0b9888819094e424d33c14d5d0 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.