Triple

T6578937
Position Surface form Disambiguated ID Type / Status
Subject Russian Air Force E157241 entity
Predicate hasComponent P35 FINISHED
Object Frontal Aviation E63698 NE 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: Frontal Aviation | Statement: [Russian Air Force, hasComponent, Frontal Aviation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frontal Aviation
Context triple: [Russian Air Force, hasComponent, Frontal Aviation]
  • A. Frontal Aviation chosen
    Frontal Aviation was the tactical air arm of the Soviet Air Forces, responsible for providing air support and conducting operations in direct coordination with ground forces.
  • B. Esken Aviation
    Esken Aviation is the aviation-focused business segment of Esken Limited, involved in airport operations and related aviation services.
  • C. Peach Aviation
    Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
  • D. Sunflower Aviation
    Sunflower Aviation is a regional airline based in Fiji that operates domestic and charter flights, including services from Nausori International Airport.
  • E. Aerophile S.A.
    Aerophile S.A. is a French company specializing in the design, manufacture, and operation of tethered gas balloons and aerial attractions used worldwide for tourism, entertainment, and observation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56fe8f08190ad30773f29b207c5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.