Triple

T19741160
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Curchod E474120 entity
Predicate burialPlace P196 FINISHED
Object Coppet 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: Coppet | Statement: [Suzanne Curchod, burialPlace, Coppet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coppet
Context triple: [Suzanne Curchod, burialPlace, Coppet]
  • A. Coppet chosen
    Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
  • B. Villars-le-Comte
    Villars-le-Comte is a small rural municipality in the canton of Vaud in western Switzerland.
  • C. Cluses
    Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
  • D. Blonay
    Blonay is a former municipality in the canton of Vaud in western Switzerland, known for its scenic location above Lake Geneva and its proximity to the town of Vevey.
  • E. Nyons
    Nyons is a small town in southeastern France renowned for its olive production and picturesque setting in the Drôme Provençale region.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.