Triple

T12478575
Position Surface form Disambiguated ID Type / Status
Subject Soviet Air Force (limited VIP transport) E298240 entity
Predicate aircraftOperation P16104 FINISHED
Object military registration 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: military registration | Statement: [Soviet Air Force (limited VIP transport), aircraftOperation, military registration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftOperation
Context triple: [Soviet Air Force (limited VIP transport), aircraftOperation, military registration]
  • A. aircraftOperationType
    Indicates the specific manner or purpose for which an aircraft is being operated (e.g., commercial, private, military, training).
  • B. hasAircraftOperationsType chosen
    Indicates the specific category or type of aircraft operations associated with an entity, such as commercial, military, or private use.
  • C. aircraftCommanded
    Indicates that one entity serves as the commanding officer or leader in charge of operating, directing, or overseeing the other entity, which is an aircraft.
  • D. airlineOperationsType
    Indicates the type or category of operational activities an airline conducts (e.g., passenger, cargo, charter, or mixed services).
  • E. hasRunwayOperations
    Indicates that an entity conducts or is involved in operational activities on an airport runway, such as takeoffs, landings, or related ground movements.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e626dbc8190ac7dcdb542ba9b0c completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d3f701c81909dd0e00251ac8553 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.