Triple

T12083005
Position Surface form Disambiguated ID Type / Status
Subject Armançon E287728 entity
Predicate flowsThrough P225 FINISHED
Object Saint-Florentin E313181 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: Saint-Florentin | Statement: [Armançon, flowsThrough, Saint-Florentin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Florentin
Context triple: [Armançon, flowsThrough, Saint-Florentin]
  • A. Saint-Florentin chosen
    Saint-Florentin is a small commune in north-central France known for its historic church and location at the confluence of the Armance and Armançon rivers.
  • B. 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.
  • C. Sainte-Florine
    Sainte-Florine is a small commune in south-central France, located in the Haute-Loire department of the Auvergne-Rhône-Alpes region.
  • D. Saint-Fons
    Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
  • E. Draguignan
    Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684b79c48190a663e9f5504ba20c completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:48 p.m.