Triple

T7283894
Position Surface form Disambiguated ID Type / Status
Subject Pilatus PC-9 E163818 entity
Predicate manufacturer P490 FINISHED
Object Pilatus Aircraft E143388 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: Pilatus Aircraft | Statement: [Pilatus PC-9, manufacturer, Pilatus Aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilatus Aircraft
Context triple: [Pilatus PC-9, manufacturer, Pilatus Aircraft]
  • A. Pilatus Aircraft chosen
    Pilatus Aircraft is a Swiss aerospace manufacturer best known for producing high-performance turboprop training and utility aircraft for military and civilian use.
  • B. Panavia Aircraft GmbH
    Panavia Aircraft GmbH is a multinational aerospace consortium formed by the UK, Germany, and Italy to design, develop, and produce the Panavia Tornado combat aircraft.
  • C. Piper Aircraft
    Piper Aircraft is an American general aviation manufacturer best known for producing a wide range of popular light aircraft for personal, training, and business use.
  • D. Fairchild-Dornier
    Fairchild-Dornier was a German-American aircraft manufacturer formed in the 1990s that focused on regional and business jets before declaring bankruptcy in the early 2000s.
  • E. Beriev Aircraft Company
    Beriev Aircraft Company is a Russian aerospace manufacturer renowned for designing and producing specialized amphibious and maritime patrol 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4ec2088190a6713eaa221d49a6 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3e1fd081908457b8202c43f64f completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.