Triple

T2580573
Position Surface form Disambiguated ID Type / Status
Subject Hawker Hart E57078 entity
Predicate aircraftLayout P3541 FINISHED
Object conventional taildragger 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: conventional taildragger | Statement: [Hawker Hart, aircraftLayout, conventional taildragger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftLayout
Context triple: [Hawker Hart, aircraftLayout, conventional taildragger]
  • A. aircraftConfiguration chosen
    Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
  • B. isPartOfAirportLayout
    Indicates that something is a component or element within the overall physical or functional layout of an airport.
  • C. cockpitType
    Indicates the specific configuration or style of cockpit associated with an entity (e.g., vehicle or aircraft).
  • D. flightDeckType
    Indicates the specific configuration or design type of a vehicle’s flight deck (cockpit/control area).
  • E. locationOnAircraft
    Indicates that one entity is physically situated on or within an aircraft.
  • F. None of above.

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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c6da888190ba7abfe37d182602 completed March 7, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69abd0cfeae08190aed03866ba071c5c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.