Triple

T16405172
Position Surface form Disambiguated ID Type / Status
Subject Vesancy E398406 entity
Predicate locatedIn P40 FINISHED
Object Pays de Gex E110898 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: Pays de Gex | Statement: [Vesancy, locatedIn, Pays de Gex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pays de Gex
Context triple: [Vesancy, locatedIn, Pays de Gex]
  • A. Pays de Gex chosen
    Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
  • 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. Genolier
    Genolier is a small municipality in the canton of Vaud in western Switzerland, known for its scenic setting near Lake Geneva and the Jura Mountains.
  • D. Couvet
    Couvet is a village in the Val-de-Travers district of the canton of Neuchâtel in western Switzerland, known historically as the birthplace of the jurist Emer de Vattel.
  • E. Épinal
    Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457baed48190b559af7c0ac2711d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.