Triple

T12174413
Position Surface form Disambiguated ID Type / Status
Subject ArianeGroup E290052 entity
Predicate foundedBy P104 FINISHED
Object Safran E131994 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: Safran | Statement: [ArianeGroup, foundedBy, Safran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safran
Context triple: [ArianeGroup, foundedBy, Safran]
  • A. Safran chosen
    Safran is a major French multinational company specializing in aerospace, defense, and security technologies.
  • B. Safran Aircraft Engines
    Safran Aircraft Engines is a major French aerospace company that designs, develops, and manufactures aircraft and rocket engines for civil and military applications worldwide.
  • C. Safran Arrius 2B2Plus
    The Safran Arrius 2B2Plus is a modern turboshaft engine developed by Safran Helicopter Engines, commonly used to power light twin-engine helicopters.
  • D. Safran Landing Systems
    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.
  • E. Safran Nacelles
    Safran Nacelles is a leading aerospace company specializing in the design, integration, and support of aircraft engine nacelles and related propulsion systems.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.