Triple

T2960491
Position Surface form Disambiguated ID Type / Status
Subject Bell 212 E80035 entity
Predicate manufacturer P490 FINISHED
Object Bell Textron E99803 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: Bell Textron | Statement: [Bell 212, manufacturer, Bell Textron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell Textron
Context triple: [Bell 212, manufacturer, Bell Textron]
  • A. Bell Textron chosen
    Bell Textron is a major American aerospace manufacturer best known for designing and producing helicopters and tiltrotor aircraft for both military and commercial use.
  • B. Textron Aviation
    Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
  • C. 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.
  • D. Spirit AeroSystems
    Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
  • E. Rockwell International
    Rockwell International was a major American manufacturing conglomerate best known in aerospace for building the Space Shuttle orbiters and contributing extensively to U.S. defense and space programs.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992dd4248190b5f3d4f342593b8c completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20339e9848190944c64f2f453e765 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 2:57 p.m.