Triple

T10175688
Position Surface form Disambiguated ID Type / Status
Subject Textron Aviation E235844 entity
Predicate brand P1500 FINISHED
Object Cessna E244424 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: Cessna | Statement: [Textron Aviation, brand, Cessna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessna
Context triple: [Textron Aviation, brand, Cessna]
  • A. Cessna chosen
    Cessna is an American aircraft manufacturer best known for producing popular general aviation airplanes, including light single-engine models and utility aircraft.
  • B. 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.
  • 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. Beechcraft Bonanza
    The Beechcraft Bonanza is a long-running, high-performance single-engine general aviation aircraft renowned for its distinctive V-tail (in early models) and popularity among private pilots.
  • E. Swearingen Aircraft
    Swearingen Aircraft was an American aircraft manufacturer best known for producing small commuter and business aircraft, including the Metroliner series.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32acbd9ec81908849b17d8ba1dd11 completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:11 p.m.