Triple

T12058260
Position Surface form Disambiguated ID Type / Status
Subject AT-7 Navigator E287098 entity
Predicate manufacturer P490 FINISHED
Object Beechcraft E128360 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: Beechcraft | Statement: [AT-7 Navigator, manufacturer, Beechcraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beechcraft
Context triple: [AT-7 Navigator, manufacturer, Beechcraft]
  • A. Beechcraft chosen
    Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility aircraft.
  • B. Cessna
    Cessna is an American aircraft manufacturer best known for producing popular general aviation airplanes, including light single-engine models and utility aircraft.
  • C. Swearingen Aircraft
    Swearingen Aircraft was an American aircraft manufacturer best known for producing small commuter and business aircraft, including the Metroliner series.
  • D. 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.
  • E. Beechcraft Baron
    The Beechcraft Baron is a popular American twin-engine light aircraft known for its performance, reliability, and use in both private and business aviation.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63454d1b88190a01db0e2a7363d05 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:47 p.m.