Triple
T32846990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgorod State National Research University |
E840124
|
entity |
| Predicate | hasResearchAreasIn |
—
|
GENERATED |
| Object | applied sciences |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchAreasIn Context triple: [Belgorod State National Research University, hasResearchAreasIn, applied sciences]
-
A.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
B.
isInResearchArea
Indicates that one entity falls within, or is relevant to, the specified research area of another entity.
-
C.
hasStudyAreas
Indicates that an entity includes, encompasses, or is associated with one or more specific areas of study.
-
D.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
E.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:17 a.m.