Triple

T18278137
Position Surface form Disambiguated ID Type / Status
Subject Tannay E437792 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Commugny 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: Commugny | Statement: [Tannay, hasNeighbouringMunicipality, Commugny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Commugny
Context triple: [Tannay, hasNeighbouringMunicipality, Commugny]
  • A. Commugny chosen
    Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
  • B. Cartigny
    Cartigny is a small rural municipality in western Switzerland known for its agricultural landscape and location within the canton of Geneva.
  • C. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • D. Verzenay
    Verzenay is a renowned Grand Cru wine-producing village in France’s Champagne region, particularly noted for its Pinot Noir vineyards on the Montagne de Reims.
  • E. Moutier
    Moutier is a small town in the canton of Bern in northwestern Switzerland, known for its industrial heritage and location in the Jura mountains.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50053cc808190b46a3ec9d96936fe completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.