Triple

T10083417
Position Surface form Disambiguated ID Type / Status
Subject Château de Cirey E213959 entity
Predicate locatedIn P40 FINISHED
Object Cirey-sur-Blaise E408763 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: Cirey-sur-Blaise | Statement: [Château de Cirey, locatedIn, Cirey-sur-Blaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cirey-sur-Blaise
Context triple: [Château de Cirey, locatedIn, Cirey-sur-Blaise]
  • A. Cirey-sur-Blaise chosen
    Cirey-sur-Blaise is a commune in northeastern France best known for the Château de Cirey, where Voltaire lived and worked with Émilie du Châtelet.
  • B. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Eygalières
    Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
  • E. 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.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7bbfdb0819080377d3402bcfec3 completed April 8, 2026, 7:08 p.m.
Created at: March 30, 2026, 9 p.m.