Triple

T2911855
Position Surface form Disambiguated ID Type / Status
Subject Frontal Aviation E63698 entity
Predicate RussianName P744 FINISHED
Object Frontovaya aviatsiya 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: Frontovaya aviatsiya | Statement: [Frontal Aviation, RussianName, Frontovaya aviatsiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frontovaya aviatsiya
Context triple: [Frontal Aviation, RussianName, Frontovaya aviatsiya]
  • A. Severstal Aircompany
    Severstal Aircompany is a Russian regional airline that operates passenger services, primarily within Russia, using Sheremetyevo International Airport as one of its key operational bases.
  • B. SVERDLOVSK AIR
    SVERDLOVSK AIR is the radio callsign used by Ural Airlines, a Russian commercial airline based in Yekaterinburg.
  • C. Aviamotornaya
    Aviamotornaya is a Moscow Metro station on the Big Circle Line serving the Aviamotornaya area in the eastern part of the city.
  • D. 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.
  • E. Aero Bureau
    Aero Bureau is the aviation unit of the Los Angeles County Sheriff's Department, providing airborne law enforcement, search and rescue, and support services throughout the county.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ea0ae4819096f17d74072b0b78 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0562014fc8190b7b702fa40682382 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.