Triple

T31055474
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Culture of the Republic of Belarus E791382 entity
Predicate hasOfficialNameInBelarusian P26843 FINISHED
Object Міністэрства культуры Рэспублікі Беларусь 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: Міністэрства культуры Рэспублікі Беларусь | Statement: [Ministry of Culture of the Republic of Belarus, hasOfficialNameInBelarusian, Міністэрства культуры Рэспублікі Беларусь]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialNameInBelarusian
Context triple: [Ministry of Culture of the Republic of Belarus, hasOfficialNameInBelarusian, Міністэрства культуры Рэспублікі Беларусь]
  • A. hasOfficialNameInUkrainian
    Indicates that an entity has an officially recognized name expressed in the Ukrainian language.
  • B. nameInBelarusian chosen
    Indicates that an entity is known or referred to by a specific name in the Belarusian language.
  • C. hasOfficialNameInEsperanto
    Indicates that an entity has an official name expressed in the Esperanto language.
  • D. hasOfficialNameInTurkmen
    Indicates that an entity has an official, formally recognized name expressed in the Turkmen language.
  • E. hasOfficialNameInChuvash
    Indicates that an entity has an official or formally recognized name expressed in the Chuvash 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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f727afd5d88190ad48735cd1b32787 completed May 3, 2026, 10:47 a.m.
PD Predicate disambiguation batch_69f72737c42c8190a3f781a5e98868ff completed May 3, 2026, 10:45 a.m.
Created at: April 29, 2026, 9 p.m.