Triple

T17117710
Position Surface form Disambiguated ID Type / Status
Subject Canton of Annecy-le-Vieux E415382 entity
Predicate contains P35 FINISHED
Object Charvonnex E1258851 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: Charvonnex | Statement: [Canton of Annecy-le-Vieux, contains, Charvonnex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charvonnex
Context triple: [Canton of Annecy-le-Vieux, contains, Charvonnex]
  • A. Charvonnex chosen
    Charvonnex is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
  • B. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • C. 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.
  • D. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • E. Chasseral
    Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8075a6c8190954d36eb94d1028a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a017936f1bc8190ae675097fcbda90b completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:35 a.m.