Triple

T2144806
Position Surface form Disambiguated ID Type / Status
Subject Hawker Siddeley E47038 entity
Predicate parentCompanyOf P254 FINISHED
Object Folland Aircraft E118975 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: Folland Aircraft | Statement: [Hawker Siddeley, parentCompanyOf, Folland Aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Folland Aircraft
Context triple: [Hawker Siddeley, parentCompanyOf, Folland Aircraft]
  • A. Folland Aircraft chosen
    Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
  • B. Hawker Aircraft
    Hawker Aircraft was a prominent British aircraft manufacturer best known for producing iconic military planes such as the Hawker Hurricane during the early to mid-20th century.
  • C. Republic Aviation
    Republic Aviation was a major American aircraft manufacturer best known for producing World War II fighter planes such as the P-47 Thunderbolt.
  • D. Convair
    Convair was a major American aerospace and defense contractor known for producing military aircraft, airliners, and early space launch vehicles during the mid-20th century.
  • E. Beechcraft
    Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe243e248190848bb1b86047f980 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d75a5c8190b364a4ab5370558a completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.