Triple

T17396646
Position Surface form Disambiguated ID Type / Status
Subject Safran Aircraft Engines E422971 entity
Predicate headquartersLocation P62 FINISHED
Object Courcouronnes 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: Courcouronnes | Statement: [Safran Aircraft Engines, headquartersLocation, Courcouronnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courcouronnes
Context triple: [Safran Aircraft Engines, headquartersLocation, Courcouronnes]
  • A. Courcouronnes chosen
    Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
  • B. Magnicourt
    Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. Brienne-le-Château
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • D. Grand Reims
    Grand Reims is an urban community in northeastern France that groups Reims and surrounding municipalities to coordinate regional governance and development.
  • E. Ruffec
    Ruffec is a small commune and town in southwestern France known for its historic architecture and location in the Charente department of the Nouvelle-Aquitaine region.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abd9b748190bd55c863276d9e3a completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.