Triple

T18109988
Position Surface form Disambiguated ID Type / Status
Subject Pierre-François Bouchard E433447 entity
Predicate placeOfBirth P1 FINISHED
Object Orgelet 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: Orgelet | Statement: [Pierre-François Bouchard, placeOfBirth, Orgelet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orgelet
Context triple: [Pierre-François Bouchard, placeOfBirth, Orgelet]
  • A. Orgelet chosen
    Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
  • B. Orge
    Orge is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Seine.
  • C. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • D. Erque
    Erque is a small village or locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • E. Zorzor
    Zorzor is a town in northwestern Liberia that serves as one of the main urban centers of Lofa County.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd13cb48190bff06b472e34dd0e completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.