Triple
T34615977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIA University College |
E888863
|
entity |
| Predicate | hasResearchAndDevelopmentActivities |
—
|
GENERATED |
| Object | true |
—
|
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: hasResearchAndDevelopmentActivities Context triple: [VIA University College, hasResearchAndDevelopmentActivities, true]
-
A.
hasRAndDInvestment
Indicates that an entity allocates resources or funding toward research and development activities.
-
B.
hasResearchActivities
chosen
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
C.
hasTechnologicalActivity
Indicates that an entity engages in, performs, or is involved in some form of technological process, operation, or practice.
-
D.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
E.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:03 a.m.