Triple
T31690721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California system transportation research network |
E808781
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multi-campus research network |
C16151
|
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: multi-campus research network Context triple: [University of California system transportation research network, instanceOf, multi-campus research network]
-
A.
multi-campus research organization
A multi-campus research organization is an institution that coordinates and conducts collaborative research across multiple geographically distinct campuses, sharing resources, expertise, and infrastructure under a unified governance structure.
-
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.
multi-campus university
A multi-campus university is an institution of higher education that operates multiple geographically separate campuses under a single administrative and academic governance structure.
-
D.
multi-campus university structure
A multi-campus university structure is an organizational framework in which a single university operates multiple geographically dispersed campuses that share governance, academic standards, and resources while serving distinct local communities and programmatic needs.
-
E.
network of universities
chosen
A network of universities is an interconnected system of higher education institutions that collaborate to share resources, research, programs, and expertise across organizational and geographic boundaries.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:08 p.m.