Triple
T22200068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Power Engineering Institute |
E548655
|
entity |
| Predicate | recognizedAs |
P310
|
FINISHED |
| Object | National Research University of Russia |
—
|
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: National Research University of Russia | Statement: [Moscow Power Engineering Institute, recognizedAs, National Research University of Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Research University of Russia Context triple: [Moscow Power Engineering Institute, recognizedAs, National Research University of Russia]
-
A.
Ural Federal University
Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
-
B.
Peoples’ Friendship University of Russia
Peoples’ Friendship University of Russia is a major Moscow-based public research university known for its international student body and focus on fostering cooperation among nations.
-
C.
Kazan National Research Technical University
Kazan National Research Technical University is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
-
D.
Novosibirsk State University
Novosibirsk State University is a leading Russian research university in Novosibirsk, renowned for its strong programs in mathematics, physics, and computer science and its close ties to the Siberian Branch of the Russian Academy of Sciences.
-
E.
Siberian Federal University
Siberian Federal University is a major public research and educational institution in Russia, known for serving as a leading academic center in the Siberian 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: National Research University of Russia Target entity description: The National Research University of Russia is a prestigious Russian higher education and research institution distinguished for its advanced scientific work and strong emphasis on innovation and technology.
-
A.
Ural Federal University
Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
-
B.
Peoples’ Friendship University of Russia
Peoples’ Friendship University of Russia is a major Moscow-based public research university known for its international student body and focus on fostering cooperation among nations.
-
C.
Kazan National Research Technical University
Kazan National Research Technical University is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
-
D.
Novosibirsk State University
Novosibirsk State University is a leading Russian research university in Novosibirsk, renowned for its strong programs in mathematics, physics, and computer science and its close ties to the Siberian Branch of the Russian Academy of Sciences.
-
E.
Siberian Federal University
Siberian Federal University is a major public research and educational institution in Russia, known for serving as a leading academic center in the Siberian 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aea51d48190a570cd36c106ab78 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.