Triple

T21148985
Position Surface form Disambiguated ID Type / Status
Subject VV E521133 entity
Predicate hasAbbreviation P43 FINISHED
Object VV NE NERFINISHED

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: VV | Statement: [VV, hasAbbreviation, VV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VV
Context triple: [VV, hasAbbreviation, VV]
  • A. VV chosen
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • B. VVI
    VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
  • C. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • D. V
    V is a studio album by the American instrumental rock band The Fucking Champs, known for its intricate, metal-influenced guitar work and progressive song structures.
  • E. V
    V is a television miniseries best known as a 1980s science fiction drama about an alien invasion and human resistance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723ffb578819080a000987459a8a5 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.