Triple
T229640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Computers and Artificial Intelligence, Cairo University |
E4382
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer science faculty |
C1010
|
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: computer science faculty Context triple: [Faculty of Computers and Artificial Intelligence, Cairo University, instanceOf, computer science faculty]
-
A.
university faculty
chosen
A university faculty is a group of academic staff and scholars within a higher education institution responsible for teaching, research, and academic governance in specific disciplines or departments.
-
B.
computer science school
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.
-
C.
academic administrator
An academic administrator is a professional responsible for planning, organizing, and overseeing the non-teaching operations and policies of educational institutions to support their academic mission.
-
D.
university collaboration
University collaboration is the structured partnership between universities and external entities (such as other academic institutions, industry, government, or communities) to jointly pursue research, education, innovation, and resource sharing.
-
E.
research university
A research university is a higher education institution that prioritizes the creation of new knowledge through extensive research activities while offering a broad range of undergraduate and graduate academic programs.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.