Triple
T17899989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golisano College of Computing and Information Sciences |
E447545
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computing college |
C1069
|
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: computing college Context triple: [Golisano College of Computing and Information Sciences, instanceOf, computing college]
-
A.
computer science school
chosen
A computer science school is an educational institution or program dedicated to teaching the principles, theories, and practical skills of computing, programming, and information technology.
-
B.
technology college
A technology college is an educational institution focused on providing specialized, career-oriented training and degree programs in applied sciences, engineering, and technological fields.
-
C.
science college
A science college is an educational institution dedicated to teaching and research in scientific disciplines, offering specialized courses, laboratories, and degree programs in fields such as physics, chemistry, biology, and related areas.
-
D.
research computer system
A research computer system is a specialized computing environment designed to support complex scientific or academic investigations by providing high-performance processing, large-scale data storage, and advanced analytical tools.
-
E.
computer science problem
A computer science problem is a well-defined computational task or question that requires designing algorithms, data structures, or formal methods to determine a solution or prove properties about its solvability or complexity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:19 a.m.