Triple

T3298657
Position Surface form Disambiguated ID Type / Status
Subject Avio Aero E69276 entity
Predicate parentCompany P254 FINISHED
Object GE Aerospace E315484 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: GE Aerospace | Statement: [Avio Aero, parentCompany, GE Aerospace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GE Aerospace
Context triple: [Avio Aero, parentCompany, GE Aerospace]
  • A. GE Aviation chosen
    GE Aviation is a leading aerospace company that designs and manufactures jet engines and related systems for commercial and military aircraft worldwide.
  • B. Pratt & Whitney
    Pratt & Whitney is a major American aerospace manufacturer best known for designing and producing aircraft engines for commercial, military, and general aviation markets.
  • C. Collins Aerospace
    Collins Aerospace is a major American aerospace and defense company that designs and manufactures advanced avionics, aircraft systems, and related technologies for commercial, military, and space applications.
  • 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. 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.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.