Triple

T22461677
Position Surface form Disambiguated ID Type / Status
Subject Safran Seats E555243 entity
Predicate isDivisionOf P14547 FINISHED
Object Safran Group 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: Safran Group | Statement: [Safran Seats, isDivisionOf, Safran Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safran Group
Context triple: [Safran Seats, isDivisionOf, Safran Group]
  • A. The Safran Company
    The Safran Company is a film and television production company best known for producing major horror franchises such as The Conjuring series.
  • B. Safran Landing Systems chosen
    Safran Landing Systems is a leading global manufacturer and maintainer of aircraft landing gear and braking systems, serving commercial, regional, business, and military aviation markets.
  • C. Airbus
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • D. EADS
    EADS (European Aeronautic Defence and Space Company) was a major European aerospace and defense corporation that later became part of Airbus Group.
  • E. Aérospatiale
    Aérospatiale was a major French aerospace manufacturer and state-owned company that played a key role in European aviation and space projects, including as a founding partner of Airbus.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7f74948190beaf6ea24ba29276 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.