Triple
T28967652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State College, Pennsylvania metropolitan area |
E732084
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | university-centered region |
C3168
|
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: university-centered region Context triple: [State College, Pennsylvania metropolitan area, instanceOf, university-centered region]
-
A.
university town
chosen
A university town is a community whose identity, economy, and daily life are significantly shaped by the presence and activities of one or more higher education institutions.
-
B.
public central university
A public central university is a government-funded higher education institution established and administered by a national or federal authority, typically offering a wide range of academic programs and research opportunities.
-
C.
university centre
A university centre is a dedicated facility or organizational unit within a university that provides specialized services, resources, or programs to support academic, research, or student-focused activities.
-
D.
regional center of Academia Europaea
A regional center of Academia Europaea is a geographically based hub that supports and coordinates the Academy’s scholarly, networking, and outreach activities within a specific region.
-
E.
regional college campus
A regional college campus is a localized branch of a larger higher-education institution that provides academic programs, student services, and community engagement tailored to the needs of a specific geographic area.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 8:52 a.m.