Triple
T25313051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GÉANT |
E634658
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | research and education network organization |
C497
|
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: research and education network organization Context triple: [GÉANT, instanceOf, research and education network organization]
-
A.
research network
chosen
A research network is a structured system of interconnected researchers, institutions, and resources that collaboratively generate, share, and advance knowledge within and across disciplines.
-
B.
multi-campus educational network
A multi-campus educational network is an interconnected system of geographically distributed campuses that share academic programs, resources, governance, and support services to deliver coordinated, high-quality education across multiple locations.
-
C.
research and education centre
A research and education centre is an institution dedicated to generating new knowledge through systematic investigation and disseminating it through structured teaching, training, and outreach activities.
-
D.
research and education hub
A research and education hub is a centralized environment where scholars, students, and professionals collaborate to generate new knowledge, share resources, and engage in learning and innovation.
-
E.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:27 p.m.