Triple

T11617762
Position Surface form Disambiguated ID Type / Status
Subject Cessna T-37 Tweet E275553 entity
Predicate manufacturer P490 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: [Cessna T-37 Tweet, manufacturer, Cessna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessna
Context triple: [Cessna T-37 Tweet, manufacturer, 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. Cessna 310
    The Cessna 310 is a twin-engine, six-seat light aircraft introduced in the 1950s that became popular for personal, business, and air-taxi 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1330cfc0819086a07139b6c82c10 completed April 27, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:38 p.m.