Triple

T21975438
Position Surface form Disambiguated ID Type / Status
Subject VTB Insurance E542692 entity
Predicate affiliation P10 FINISHED
Object VTB Bank 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: VTB Bank | Statement: [VTB Insurance, affiliation, VTB Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VTB Bank
Context triple: [VTB Insurance, affiliation, VTB Bank]
  • A. VTB Bank chosen
    VTB Bank is one of Russia’s largest state-controlled financial institutions, offering a wide range of banking and financial services domestically and internationally.
  • B. VTB Group
    VTB Group is a major Russian state-controlled financial holding company offering a wide range of banking and financial services domestically and internationally.
  • C. VTB Insurance
    VTB Insurance is a Russian insurance company that provides a range of insurance products and services, operating as part of the VTB financial group.
  • D. Gazprombank
    Gazprombank is one of Russia’s largest universal commercial banks, providing a wide range of financial services to corporate and retail clients and closely linked to the country’s energy sector.
  • E. VTB Capital
    VTB Capital is the investment banking and asset management arm of Russia’s VTB Group, providing services such as securities trading, advisory, and capital markets solutions.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124886418819091daed0988432350 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.