Triple

T112078
Position Surface form Disambiguated ID Type / Status
Subject Typhoon FGR4 E2269 entity
Predicate manufacturer P490 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: [Typhoon FGR4, manufacturer, Airbus Defence and Space]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus Defence and Space
Context triple: [Typhoon FGR4, manufacturer, Airbus Defence and Space]
  • 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. BAE Systems
    BAE Systems is a major British multinational defense, security, and aerospace company that designs and manufactures advanced military aircraft, naval vessels, and other defense technologies.
  • C. Eurofighter GmbH
    Eurofighter GmbH is a multinational aerospace consortium that designs, develops, and produces the Eurofighter Typhoon multirole combat aircraft.
  • D. Raytheon Company
    Raytheon Company was a major American defense contractor and industrial corporation known for developing advanced military technologies, including missile systems and radar.
  • E. Boeing
    Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256eddd748190984a304000988a75 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e47972c819084658ada85db97d3 completed Feb. 28, 2026, 7:50 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.