Triple

T6578917
Position Surface form Disambiguated ID Type / Status
Subject Russian Air Force E157241 entity
Predicate abbreviation P43 FINISHED
Object VVS E63696 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: VVS | Statement: [Russian Air Force, abbreviation, VVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VVS
Context triple: [Russian Air Force, abbreviation, VVS]
  • A. VVS chosen
    VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
  • B. BVVS
    BVVS is the commonly used Bulgarian abbreviation for the Bulgarian Air Force, the aerial warfare branch of Bulgaria’s armed forces.
  • C. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • D. VIV
    VIV is the ICAO airline designator assigned to Viva Aerobus, a Mexican low-cost carrier.
  • E. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • 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.