Triple

T32546643
Position Surface form Disambiguated ID Type / Status
Subject Magyar Néphadsereg E831862 entity
Predicate commandLanguageInAlliance P6537 FINISHED
Object Russian LITERAL 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: Russian | Statement: [Magyar Néphadsereg, commandLanguageInAlliance, Russian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commandLanguageInAlliance
Context triple: [Magyar Néphadsereg, commandLanguageInAlliance, Russian]
  • A. languageOfCommand chosen
    Indicates that a specified language is the one in which a given command is expressed or issued.
  • B. combatantLanguage
    Indicates the language used by a combatant in a conflict or competitive interaction.
  • C. languageOfUnion
    Indicates that a specified language is officially used or recognized as a language of a particular union or union-level entity.
  • D. queryLanguage
    Indicates that an entity uses or is associated with a particular language for formulating and executing queries.
  • E. officialLanguageOfRules
    Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
  • F. None of above.

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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: May 1, 2026, 1:02 a.m.