Triple

T3314088
Position Surface form Disambiguated ID Type / Status
Subject ITP Aero E69638 entity
Predicate hasSubsidiary P254 FINISHED
Object ITP Aero USA E69638 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: ITP Aero USA | Statement: [ITP Aero, hasSubsidiary, ITP Aero USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITP Aero USA
Context triple: [ITP Aero, hasSubsidiary, ITP Aero USA]
  • A. ITP Aero chosen
    ITP Aero is a Spanish aerospace company specializing in the design, manufacturing, and maintenance of aircraft and gas turbine engines for civil and defense markets.
  • B. Spirit AeroSystems
    Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
  • C. 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.
  • D. Patria Aviation
    Patria Aviation is an aerospace company specializing in aircraft maintenance, modification, and training services, operating as a key aviation-focused subsidiary of the Finnish defense and technology group Patria.
  • E. Tarco Aviation
    Tarco Aviation is a Sudanese airline that operates passenger and cargo flights, primarily within Sudan and to regional destinations in Africa and the Middle East.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb10f97b48190afb9c3864faf8cb2 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a759a3c81908105eae7fd856133 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.