Triple

T4400161
Position Surface form Disambiguated ID Type / Status
Subject Nyon District E93594 entity
Predicate containsMunicipality P852 FINISHED
Object Céligny E356208 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: Céligny | Statement: [Nyon District, containsMunicipality, Céligny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Céligny
Context triple: [Nyon District, containsMunicipality, Céligny]
  • A. Céligny chosen
    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.
  • B. 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.
  • C. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • D. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • E. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03295174819096d299919a6d7e57 completed March 21, 2026, 2:32 a.m.
Created at: March 12, 2026, 11:28 p.m.