Triple

T12738334
Position Surface form Disambiguated ID Type / Status
Subject European Service Module E304422 entity
Predicate contractor P7138 FINISHED
Object Airbus Defence and Space 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 Defence and Space | Statement: [European Service Module, contractor, Airbus Defence and Space]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus Defence and Space
Context triple: [European Service Module, contractor, Airbus Defence and Space]
  • A. EADS
    EADS (European Aeronautic Defence and Space Company) was a major European aerospace and defense corporation that later became part of Airbus Group.
  • B. Astrium
    Astrium was a major European aerospace company specializing in the design and manufacture of satellites, space systems, and launch vehicle components.
  • C. Airbus chosen
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • D. ArianeGroup
    ArianeGroup is a European aerospace company that designs, builds, and operates Ariane family launch vehicles and related space systems.
  • 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 (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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684eba2508190966d084cc21dc1ea completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:26 p.m.