Triple
T16186523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Московский государственный технический университет имени Н. Э. Баумана |
E392818
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | государственный университет |
C12466
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: государственный университет Context triple: [Московский государственный технический университет имени Н. Э. Баумана, instanceOf, государственный университет]
-
A.
public state university
chosen
A public state university is a higher education institution primarily funded and overseen by a state government, offering undergraduate and graduate programs to a broad population, often at reduced tuition for in-state residents.
-
B.
state university system
A state university system is a coordinated network of public higher education institutions within a state, governed by a central authority to manage funding, policy, and academic standards.
-
C.
öffentliche Universität
Eine öffentliche Universität ist eine von staatlichen Stellen getragene und überwiegend aus öffentlichen Mitteln finanzierte Hochschule, die Forschung, Lehre und akademische Ausbildung im Rahmen eines öffentlichen Bildungsauftrags anbietet.
-
D.
university
A university is an institution of higher education and research that grants academic degrees and fosters advanced learning across diverse fields of study.
-
E.
private university
A private university is a higher education institution that is independently funded and operated, primarily through tuition, donations, and endowments rather than direct government support.
- F. None of above.
Provenance (1 batch)
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 10, 2026, 5:02 a.m.