Triple

T1815046
Position Surface form Disambiguated ID Type / Status
Subject Airbus A220 E40416 entity
Predicate programStakeholder P1553 FINISHED
Object Airbus E6021 NE FINISHED

How this triple was built (3 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 | Statement: [Airbus A220, programStakeholder, Airbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus
Context triple: [Airbus A220, programStakeholder, Airbus]
  • 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. 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.
  • C. Dassault Aviation
    Dassault Aviation is a French aerospace company renowned for designing and producing military fighter jets and business aircraft, including the Mirage and Rafale families and Falcon business jets.
  • D. Boeing
    Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programStakeholder
Context triple: [Airbus A220, programStakeholder, Airbus]
  • A. hasStakeholder chosen
    Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
  • B. sponsoredPrograms
    Indicates that an entity provides financial or resource support to specific programs or initiatives.
  • C. programFocus
    Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
  • D. keyProgram
    Indicates that a program or application is designated as a primary, central, or most important one within a given context or system.
  • E. programType
    Indicates the category or kind of program to which an entity belongs or with which it is associated.
  • F. None of above.

Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba67721788190951beae25e885457 completed March 7, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8929b30c8190b21f16bcb6225406 completed March 9, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69aa61d884548190a19cf3a6b5ae9d48 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.