Triple

T8630968
Position Surface form Disambiguated ID Type / Status
Subject A3ST E204399 entity
Predicate aircraftNoiseCategory P84523 FINISHED
Object jet transport category LITERAL 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: jet transport category | Statement: [A3ST, aircraftNoiseCategory, jet transport category]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftNoiseCategory
Context triple: [A3ST, aircraftNoiseCategory, jet transport category]
  • A. aircraftWakeTurbulenceCategory
    Indicates the classification of an aircraft based on the strength of the wake turbulence it generates, typically used for separation and safety in air traffic control.
  • B. hasNoiseAbatementProcedures
    Indicates that specific measures or procedures are in place to reduce or control noise associated with the related entity or activity.
  • C. airworthinessCategory
    Indicates the regulatory airworthiness classification assigned to an aircraft or component, defining the standards and conditions under which it is approved to operate.
  • D. hasNearbyGeneralAviationAirport
    Indicates that an entity is located close to a general aviation airport, such that the airport can reasonably serve it for non-commercial or private air traffic.
  • E. typicalAircraftTypeCategory
    Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
  • F. None of above. chosen

Provenance (4 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69cc455906f8819082edd79cb4a1cf28 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc572d99bc819097f36b140c2ee1ce completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 6:27 p.m.