Triple

T10143759
Position Surface form Disambiguated ID Type / Status
Subject Maine-et-Loire E231649 entity
Predicate subprefecture P9697 FINISHED
Object Cholet E461246 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: Cholet | Statement: [Maine-et-Loire, subprefecture, Cholet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cholet
Context triple: [Maine-et-Loire, subprefecture, Cholet]
  • A. Cholet chosen
    Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
  • B. La Châtre
    La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
  • C. Bourges
    Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
  • D. Langres
    Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
  • E. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb28a1708190b46499dbe51a694a completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbacad608190adddd91f13e4113b completed April 19, 2026, 12:33 p.m.
Created at: March 30, 2026, 9:07 p.m.