Triple

T23142254
Position Surface form Disambiguated ID Type / Status
Subject canton of Pont-l’Évêque E577493 entity
Predicate contains P35 FINISHED
Object Saint-André-d’Hébertot — 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-André-d’Hébertot | Statement: [canton of Pont-l’Évêque, contains, Saint-André-d’Hébertot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saint-André-d’Hébertot
Context triple: [canton of Pont-l’Évêque, contains, Saint-André-d’Hébertot]
  • A. Saint-André-d'Hébertot chosen
    Saint-André-d'Hébertot is a small rural commune in the Calvados department of Normandy in northwestern France.
  • B. Saint-André-de-Bohon
    Saint-André-de-Bohon is a small commune in the Manche department of northwestern France, situated in the Normandy region.
  • C. Saint-Jean-d'Heurs
    Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
  • D. Saint-Donat-sur-l’Herbasse
    Saint-Donat-sur-l’Herbasse is a commune in the Drôme department in southeastern France, known for its rural setting in the Herbasse valley.
  • E. Saint-André-du-Bois
    Saint-André-du-Bois is a small commune in the Gironde department in southwestern France, known for its rural character within the Nouvelle-Aquitaine region.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecb72fc8190a24e8f5756217a36 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.