Triple
T1392688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Virginia |
E29995
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | land-grant institution |
C15
|
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: land-grant institution Context triple: [University of Virginia, instanceOf, land-grant institution]
-
A.
land-grant university
chosen
A land-grant university is a public institution of higher education designated by a government to receive the benefits of federal land grants, with a mission to provide accessible education and advance research and outreach in practical fields like agriculture, engineering, and the mechanical arts.
-
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.
sea-grant university
A sea-grant university is a higher education institution designated by the U.S. government to receive federal support for research, education, and outreach related to coastal, marine, and Great Lakes resources.
-
D.
higher education organization
A higher education organization is an institution that provides post-secondary academic or professional education, conducts research, and grants recognized degrees or certifications.
-
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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.