Triple

T33095202
Position Surface form Disambiguated ID Type / Status
Subject Farmer E846889 entity
Predicate aircraftTypeOfDesignatedAircraft P1524 FINISHED
Object jet aircraft 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 aircraft | Statement: [Farmer, aircraftTypeOfDesignatedAircraft, jet aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftTypeOfDesignatedAircraft
Context triple: [Farmer, aircraftTypeOfDesignatedAircraft, jet aircraft]
  • A. aircraftType chosen
    Indicates the specific model or category of aircraft associated with an entity or event.
  • B. aircraftRoleOfDesignatedAircraft
    Indicates that an aircraft has the specified operational role or function as a designated aircraft within a particular context or mission.
  • C. iataAircraftTypeCode
    Indicates the standardized IATA code that specifies the aircraft type used in a flight or aviation context.
  • D. intendedAircraft
    Indicates that an aircraft is the one planned or designated to be used for a particular flight, mission, or operation.
  • E. aircraftTypeManaged
    Indicates that one entity is responsible for managing or overseeing a particular type or category of 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_69f3495590dc8190aa04f3dec74ce976 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:26 a.m.