Triple

T20260220
Position Surface form Disambiguated ID Type / Status
Subject EADS E498812 entity
Predicate hasSubsidiary P254 FINISHED
Object Eurocopter Group 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: Eurocopter Group | Statement: [EADS, hasSubsidiary, Eurocopter Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurocopter Group
Context triple: [EADS, hasSubsidiary, Eurocopter Group]
  • A. Airbus Helicopters chosen
    Airbus Helicopters is the Airbus Group’s helicopter manufacturing division, known as one of the world’s leading producers of civil and military rotary-wing aircraft.
  • B. 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.
  • C. Leonardo Helicopters
    Leonardo Helicopters is the helicopter division of the Italian aerospace and defense company Leonardo S.p.A., known for designing and manufacturing civil and military rotary-wing aircraft.
  • D. AgustaWestland
    AgustaWestland was a major Anglo-Italian helicopter manufacturer known for producing military and civilian rotorcraft, including the AW101.
  • E. PHI Helicopters
    PHI Helicopters is an aviation company best known for providing helicopter transportation services to the offshore oil and gas industry and other specialized sectors.
  • 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.