Triple

T10228113
Position Surface form Disambiguated ID Type / Status
Subject De Haller E243259 entity
Predicate hasMunicipality P847 FINISHED
Object Chêne-Bougeries E49085 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: Chêne-Bougeries | Statement: [De Haller, hasMunicipality, Chêne-Bougeries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chêne-Bougeries
Context triple: [De Haller, hasMunicipality, Chêne-Bougeries]
  • A. Chêne-Bougeries chosen
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • B. Chassieu
    Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
  • C. Val-de-Ruz
    Val-de-Ruz is a municipality and valley region in the canton of Neuchâtel in western Switzerland, known for its rural landscapes and proximity to the Jura Mountains.
  • D. 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.
  • E. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94ae0a9608190ab241b6a62fe807b completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:18 a.m.