Triple

T20260212
Position Surface form Disambiguated ID Type / Status
Subject EADS E498812 entity
Predicate ownsBrand P1500 FINISHED
Object Eurocopter 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 | Statement: [EADS, ownsBrand, Eurocopter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurocopter
Context triple: [EADS, ownsBrand, Eurocopter]
  • 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. Eurocopter EC635
    The Eurocopter EC635 is a light twin-engine multi-role helicopter widely used for military transport, training, and medical evacuation missions.
  • C. Eurocopter AS550 Fennec
    The Eurocopter AS550 Fennec is a light military helicopter used worldwide for roles such as reconnaissance, training, and light attack missions.
  • D. 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.
  • E. Airbus Helicopters H125
    The Airbus Helicopters H125 is a popular single-engine light utility helicopter widely used worldwide for passenger transport, aerial work, law enforcement, and tourism due to its performance and versatility.
  • 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.