Triple

T1799141
Position Surface form Disambiguated ID Type / Status
Subject Airbus A350 E39672 entity
Predicate designedBy P184 FINISHED
Object Airbus Engineering E6021 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: Airbus Engineering | Statement: [Airbus A350, designedBy, Airbus Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus Engineering
Context triple: [Airbus A350, designedBy, Airbus Engineering]
  • A. Airbus chosen
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • B. Leonardo Aerostructures
    Leonardo Aerostructures is a subsidiary of the Italian aerospace and defense company Leonardo S.p.A. that specializes in the design and manufacture of aircraft structural components and assemblies.
  • C. 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.
  • D. 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.
  • E. Collins Aerospace
    Collins Aerospace is a major American aerospace and defense company that designs and manufactures advanced avionics, aircraft systems, and related technologies for commercial, military, and space applications.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6569b2e48190a56cf48160796d2e completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.