Triple

T13062595
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Gurevich E329234 entity
Predicate aircraftDesignFocus P47950 FINISHED
Object high-performance interceptors 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: high-performance interceptors | Statement: [Mikhail Gurevich, aircraftDesignFocus, high-performance interceptors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftDesignFocus
Context triple: [Mikhail Gurevich, aircraftDesignFocus, high-performance interceptors]
  • A. aircraftDesignFeature
    Indicates a relationship where a specific design feature is associated with, or incorporated into, an aircraft.
  • B. aircraftDesignStyle
    Indicates the stylistic or aesthetic design approach applied to an aircraft.
  • C. aircraftRoleDesigned chosen
    Indicates that an aircraft was specifically designed to fulfill a particular operational role or function.
  • D. airframeDesigner
    Indicates that one entity is the designer or design authority responsible for the airframe of an aircraft or aerospace vehicle associated with the other entity.
  • E. ledToAircraftRedesign
    Indicates that one event, issue, or discovery caused or motivated a change in the design of 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 8:59 p.m.