Triple

T19471813
Position Surface form Disambiguated ID Type / Status
Subject Avar language E487139 entity
Predicate languageRegulator P6195 FINISHED
Object Dagestan Institute of Language, Literature and Art — NE NERFINISHED

How this triple was built (3 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: Dagestan Institute of Language, Literature and Art | Statement: [Avar language, languageRegulator, Dagestan Institute of Language, Literature and Art]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagestan Institute of Language, Literature and Art
Context triple: [Avar language, languageRegulator, Dagestan Institute of Language, Literature and Art]
  • A. Dagestan State University
    Dagestan State University is a major public higher education and research institution located in Makhachkala, the capital of the Republic of Dagestan in Russia.
  • B. Dagestan State Technical University
    Dagestan State Technical University is a major technical higher education institution in the Republic of Dagestan, Russia, offering engineering and applied science programs.
  • C. Adyghe State University
    Adyghe State University is a major public higher education institution in the Republic of Adygea, Russia, offering a wide range of academic programs and serving as a key cultural and educational center for the region.
  • D. Kabardino-Balkarian State University
    Kabardino-Balkarian State University is a major public higher education and research institution in the Russian republic of Kabardino-Balkaria.
  • E. Chechen State University
    Chechen State University is a major public higher education institution in the Chechen Republic, serving as a key center for academic and scientific activity in the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagestan Institute of Language, Literature and Art
Target entity description: The Dagestan Institute of Language, Literature and Art is a research and cultural institution in Dagestan dedicated to the study, preservation, and development of the region’s languages, literatures, and artistic heritage.
  • A. Dagestan State University
    Dagestan State University is a major public higher education and research institution located in Makhachkala, the capital of the Republic of Dagestan in Russia.
  • B. Dagestan State Technical University
    Dagestan State Technical University is a major technical higher education institution in the Republic of Dagestan, Russia, offering engineering and applied science programs.
  • C. Adyghe State University
    Adyghe State University is a major public higher education institution in the Republic of Adygea, Russia, offering a wide range of academic programs and serving as a key cultural and educational center for the region.
  • D. Kabardino-Balkarian State University
    Kabardino-Balkarian State University is a major public higher education and research institution in the Russian republic of Kabardino-Balkaria.
  • E. Chechen State University
    Chechen State University is a major public higher education institution in the Chechen Republic, serving as a key center for academic and scientific activity in the region.
  • F. None of above. chosen

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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.