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.