Triple

T12069811
Position Surface form Disambiguated ID Type / Status
Subject ONERA E287392 entity
Predicate hasOffice P1268 FINISHED
Object Châtillon, France E292983 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: Châtillon, France | Statement: [ONERA, hasOffice, Châtillon, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châtillon, France
Context triple: [ONERA, hasOffice, Châtillon, France]
  • A. Fourchambault, France
    Fourchambault, France is a small industrial town in the Nièvre department of central France, historically known for its steelworks and metallurgical industry.
  • B. Châtillon
    Châtillon is a commune in eastern France known for its local heritage and its twinning partnership with the Swiss town of Delémont.
  • C. Châtillon chosen
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • D. Pontchâteau, France
    Pontchâteau is a commune in western France’s Loire-Atlantique department, known for its historic religious sites and its location between Nantes and Vannes.
  • E. Châtillon-sur-Seine
    Châtillon-sur-Seine is a historic commune in eastern France’s Côte-d’Or department, known for its rich archaeological heritage and picturesque setting along the Seine River.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90457fd488190b311ed69d2aebdf9 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ccc788190942e16c56f2a495f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.