Triple

T29693481
Position Surface form Disambiguated ID Type / Status
Subject MSHE RF E751274 entity
Predicate shortNameRussian P20560 FINISHED
Object Минобрнауки России 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: Минобрнауки России | Statement: [MSHE RF, shortNameRussian, Минобрнауки России]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortNameRussian
Context triple: [MSHE RF, shortNameRussian, Минобрнауки России]
  • A. nameInRussian chosen
    Indicates that an entity is known or referred to by a specific name when expressed in the Russian language.
  • B. shortNameInJapanese
    Indicates that an entity has a specific abbreviated or shorter form of its name expressed in the Japanese language.
  • C. currentNameInRussian
    Indicates the current official name of an entity as expressed in the Russian language.
  • D. shortNameInDanish
    Indicates that one entity is the short or abbreviated name of another entity when expressed in Danish.
  • E. shortNameItalian
    Indicates that an entity has a short or abbreviated name expressed in the Italian language.
  • 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672963f0481909795a3384a2d3bb4 completed May 2, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:18 p.m.