Triple
T33366374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Woods |
E854365
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | college-owned land |
C57120
|
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: college-owned land Context triple: [North Woods, instanceOf, college-owned land]
-
A.
university-affiliated property
chosen
A university-affiliated property is any real estate, facility, or land parcel that is owned, leased, managed, or formally controlled by a university or its associated entities for academic, administrative, research, residential, or auxiliary purposes.
-
B.
university endowment land
University endowment land is real property owned by a university and held as a long-term investment asset to generate income or strategic value in support of the institution’s academic and financial objectives.
-
C.
university-owned forest
A university-owned forest is a tract of woodland property managed by a higher education institution for purposes such as research, education, conservation, and sometimes sustainable resource use.
-
D.
land-based college
A land-based college is an educational institution whose identity, curriculum, and community relationships are grounded in its specific physical landscape, local environment, and place-based cultural context.
-
E.
university-owned airport
A university-owned airport is an aviation facility operated and managed by a higher education institution, primarily supporting its academic, research, training, and transportation needs while potentially serving the surrounding community.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.