Triple

T22327373
Position Surface form Disambiguated ID Type / Status
Subject Tropic Air E551934 entity
Predicate fleetType P6198 FINISHED
Object Cessna 182 E870754 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 182 | Statement: [Tropic Air, fleetType, Cessna 182]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessna 182
Context triple: [Tropic Air, fleetType, Cessna 182]
  • A. Cessna 182 chosen
    The Cessna 182 is a popular four-seat, single-engine light aircraft known for its reliability, versatility, and use in personal, training, and utility flying.
  • B. Cessna 206
    The Cessna 206 is a single-engine, six-seat light aircraft widely used for personal, commercial, and utility purposes, known for its rugged design and short takeoff and landing capabilities.
  • C. Cessna 172
    The Cessna 172 is a four-seat, single-engine, high-wing light aircraft widely used worldwide for flight training and personal aviation.
  • D. Cessna 210
    The Cessna 210 is a high-performance, single-engine, six-seat, retractable-gear general aviation aircraft widely used for personal and business travel.
  • E. Cessna 152
    The Cessna 152 is a popular two-seat, single-engine light aircraft widely used around the world for pilot training and recreational flying.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157693460819087c165481eb9e128 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17cbf58481909f01faefd9c561b5 completed May 18, 2026, 1:44 p.m.
Created at: April 16, 2026, 8:42 p.m.