Triple
T18159103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Teaching Dairy Barn |
E434708
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | university agricultural facility |
C27490
|
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 agricultural facility Context triple: [Cornell Teaching Dairy Barn, instanceOf, university agricultural facility]
-
A.
university farm
chosen
A university farm is an educational and research-focused agricultural facility operated by a university, where students and faculty engage in hands-on learning, experimentation, and demonstration of farming practices and technologies.
-
B.
agricultural school
An agricultural school is an educational institution that provides specialized training and instruction in farming, agronomy, animal husbandry, and related agricultural sciences and technologies.
-
C.
horticulture education facility
A horticulture education facility is a specialized learning environment where individuals study and practice plant cultivation, landscape management, and related environmental sciences through classroom instruction and hands-on experience.
-
D.
U.S. Department of Agriculture research station
A U.S. Department of Agriculture research station is a federally operated facility where scientists conduct agricultural research, testing, and field trials to improve farming practices, food production, and natural resource management.
-
E.
academic facility
An academic facility is a physical or virtual space designed to support educational activities, including teaching, learning, research, and scholarly collaboration.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:30 a.m.