Triple

T22248787
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Chalon-sur-Saône E549915 entity
Predicate contains P35 FINISHED
Object Givry 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: Givry | Statement: [arrondissement of Chalon-sur-Saône, contains, Givry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Givry
Context triple: [arrondissement of Chalon-sur-Saône, contains, Givry]
  • A. Givry chosen
    Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
  • B. Gagny
    Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
  • C. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • D. Juvigny
    Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • E. Villeré
    Villeré is a French surname associated with individuals such as Marie Laure Villeré.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bc69d48190b185d4b8f4089922 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:38 p.m.