Triple

T22386596
Position Surface form Disambiguated ID Type / Status
Subject Maya Island Air E553410 entity
Predicate operatesAircraftType P1523 FINISHED
Object Cessna 182 NE NERFINISHED

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: [Maya Island Air, operatesAircraftType, Cessna 182]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cessna 182
Context triple: [Maya Island Air, operatesAircraftType, 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 (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158304bcc81908c4c5db09a246bcc completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.