Triple

T21248479
Position Surface form Disambiguated ID Type / Status
Subject Vénissieux E523678 entity
Predicate locatedNear P294 FINISHED
Object Saint-Fons 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: Saint-Fons | Statement: [Vénissieux, locatedNear, Saint-Fons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Fons
Context triple: [Vénissieux, locatedNear, Saint-Fons]
  • A. Saint-Fons chosen
    Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
  • B. Saint-Jean-de-Fos
    Saint-Jean-de-Fos is a picturesque commune in southern France’s Hérault department, known for its traditional pottery and proximity to the famous Pont du Diable.
  • C. Saint-Floret
    Saint-Floret is a small commune in central France’s Puy-de-Dôme department, known for its medieval heritage and picturesque setting in the Auvergne region.
  • D. Saint-Louis-de-Montferrand
    Saint-Louis-de-Montferrand is a small commune in southwestern France that forms part of the suburban area around the city of Bordeaux.
  • E. Saint-Paul-de-Fenouillet
    Saint-Paul-de-Fenouillet is a small commune in the Pyrénées-Orientales department of southern France, known for its scenic setting in the Agly valley and proximity to the rugged Fenouillèdes hills.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359b756c819085480ca4174c53c2 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.