Triple
T27338251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn State World Campus |
E690017
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | virtual campus |
C1939
|
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: virtual campus Context triple: [Penn State World Campus, instanceOf, virtual campus]
-
A.
virtual institute
chosen
A virtual institute is an organized, often distributed, online entity that coordinates people, resources, and activities to pursue shared educational, research, or professional goals without a centralized physical location.
-
B.
university satellite campus
A university satellite campus is a geographically separate branch of a main university that offers selected academic programs and services to extend access to higher education in a different location.
-
C.
campus
A campus is a defined area of land that houses the buildings, facilities, and open spaces of an educational institution, supporting academic, residential, and social activities.
-
D.
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.
-
E.
virtual reality environment
A virtual reality environment is a computer-generated, immersive 3D space that users can interact with in real time through specialized hardware and software, simulating presence in a digital world.
- 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
Created at: April 27, 2026, 11:41 a.m.