Triple

T20260036
Position Surface form Disambiguated ID Type / Status
Subject Bölkow E498808 entity
Predicate laterPartOf P35 FINISHED
Object EADS 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: EADS | Statement: [Bölkow, laterPartOf, EADS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EADS
Context triple: [Bölkow, laterPartOf, EADS]
  • A. EADS chosen
    EADS (European Aeronautic Defence and Space Company) was a major European aerospace and defense corporation that later became part of Airbus Group.
  • B. Airbus
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • C. 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.
  • D. Airbus Transport International
    Airbus Transport International is a specialized cargo airline that operates Airbus Beluga aircraft to transport oversized aircraft components and other outsize freight for Airbus and its partners.
  • E. Airbus Defence and Space Friedrichshafen
    Airbus Defence and Space Friedrichshafen is a major German aerospace and defense facility of Airbus specializing in space systems, satellites, and related high-technology development and production.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c90d00819082f68822635ee86a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.