Triple

T5789677
Position Surface form Disambiguated ID Type / Status
Subject Beechcraft E128360 entity
Predicate mergedInto P77 FINISHED
Object Textron Aviation E235844 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: Textron Aviation | Statement: [Beechcraft, mergedInto, Textron Aviation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Textron Aviation
Context triple: [Beechcraft, mergedInto, Textron Aviation]
  • A. Textron Aviation chosen
    Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
  • B. Textron
    Textron is a diversified American industrial conglomerate best known for its aerospace, defense, and industrial products, including brands like Bell, Cessna, and Beechcraft.
  • C. Bell Textron
    Bell Textron is a major American aerospace manufacturer best known for designing and producing helicopters and tiltrotor aircraft for both military and commercial use.
  • D. Textron Systems
    Textron Systems is a U.S.-based defense and aerospace technology company that develops and manufactures advanced military systems, unmanned platforms, and related solutions.
  • E. Spirit AeroSystems
    Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0d71b7881909108c7347ce91317 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:51 p.m.