Triple

T14632410
Position Surface form Disambiguated ID Type / Status
Subject Péron E343513 entity
Predicate partOf 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: [Péron, partOf, Pays de Gex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pays de Gex
Context triple: [Péron, partOf, 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86ea50c819083d0bbed4c459041 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:26 a.m.