Triple

T1055503
Position Surface form Disambiguated ID Type / Status
Subject Bashkir language E22791 entity
Predicate regulatedBy P86 FINISHED
Object Institute of History, Language and Literature of the Ufa Federal Research Center of RAS
The Institute of History, Language and Literature of the Ufa Federal Research Center of RAS is a Russian academic research institution specializing in the study and preservation of the history, languages (including Bashkir), and literary heritage of the Bashkortostan region and related peoples.
E121291 NE FINISHED

How this triple was built (4 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: Institute of History, Language and Literature of the Ufa Federal Research Center of RAS | Statement: [Bashkir language, regulatedBy, Institute of History, Language and Literature of the Ufa Federal Research Center of RAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute of History, Language and Literature of the Ufa Federal Research Center of RAS
Context triple: [Bashkir language, regulatedBy, Institute of History, Language and Literature of the Ufa Federal Research Center of RAS]
  • A. Institute of Language and Literature of the Academy of Sciences of Turkmenistan
    The Institute of Language and Literature of the Academy of Sciences of Turkmenistan is a national scholarly institution responsible for researching, standardizing, and promoting the Turkmen language and its literary heritage.
  • B. Kazan University
    Kazan University is a historic Russian institution of higher education known for its influential role in Russian intellectual life and for having educated figures such as Vladimir Lenin.
  • C. Volgograd State University
    Volgograd State University is a major public higher education and research institution located in the Russian city of Volgograd.
  • D. Far Eastern Federal University
    Far Eastern Federal University is a major Russian research and educational institution located in Vladivostok, known for its focus on Asia-Pacific studies and international collaboration.
  • E. Leningrad State University
    Leningrad State University, now known as Saint Petersburg State University, is one of Russia’s oldest and most prestigious universities, renowned for its influential alumni and strong programs in law, science, and the humanities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Institute of History, Language and Literature of the Ufa Federal Research Center of RAS
Triple: [Bashkir language, regulatedBy, Institute of History, Language and Literature of the Ufa Federal Research Center of RAS]
Generated description
The Institute of History, Language and Literature of the Ufa Federal Research Center of RAS is a Russian academic research institution specializing in the study and preservation of the history, languages (including Bashkir), and literary heritage of the Bashkortostan region and related peoples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute of History, Language and Literature of the Ufa Federal Research Center of RAS
Target entity description: The Institute of History, Language and Literature of the Ufa Federal Research Center of RAS is a Russian academic research institution specializing in the study and preservation of the history, languages (including Bashkir), and literary heritage of the Bashkortostan region and related peoples.
  • A. Institute of Language and Literature of the Academy of Sciences of Turkmenistan
    The Institute of Language and Literature of the Academy of Sciences of Turkmenistan is a national scholarly institution responsible for researching, standardizing, and promoting the Turkmen language and its literary heritage.
  • B. Kazan University
    Kazan University is a historic Russian institution of higher education known for its influential role in Russian intellectual life and for having educated figures such as Vladimir Lenin.
  • C. Volgograd State University
    Volgograd State University is a major public higher education and research institution located in the Russian city of Volgograd.
  • D. Far Eastern Federal University
    Far Eastern Federal University is a major Russian research and educational institution located in Vladivostok, known for its focus on Asia-Pacific studies and international collaboration.
  • E. Leningrad State University
    Leningrad State University, now known as Saint Petersburg State University, is one of Russia’s oldest and most prestigious universities, renowned for its influential alumni and strong programs in law, science, and the humanities.
  • F. None of above. chosen

Provenance (5 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3d4b32348190883244f2b8af32a0 completed March 7, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac3dbf5c70819084a942fc97a9b50f completed March 7, 2026, 3:01 p.m.
Created at: March 1, 2026, 7:42 p.m.