Triple
T19926924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Exact and Natural Sciences |
E478946
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Computer Science |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Computer Science | Statement: [Faculty of Exact and Natural Sciences, hasDepartment, Department of Computer Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science Context triple: [Faculty of Exact and Natural Sciences, hasDepartment, Department of Computer Science]
-
A.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
-
B.
Department of Computer Science
The Department of Computer Science is an academic unit within the Grainger College of Engineering that focuses on education and research in computing and information technologies.
-
C.
Department of Computer Science
The Department of Computer Science at Punjabi University, Patiala is an academic unit offering teaching and research programs in computer science and related technologies.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit at Universidad Técnica Federico Santa María dedicated to education and research in computing and information technologies.
-
E.
Department of Computer Science
The Department of Computer Science at Ravenshaw University is an academic unit dedicated to teaching and research in computing, software, and information technologies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science Target entity description: The Department of Computer Science is an academic unit within the Faculty of Exact and Natural Sciences that focuses on education and research in computing, algorithms, and information technology.
-
A.
Department of Computer Science
The Department of Computer Science is an academic unit that focuses on teaching and research in computing, algorithms, software, and information technology within the College of Natural Sciences.
-
B.
Department of Computer Science
The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
-
C.
Department of Computer Science
The Department of Computer Science is an academic unit focused on teaching and research in computing, algorithms, and information technologies within the Faculty of Mathematics, Informatics and Statistics.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and software systems within the College of Physical and Mathematical Sciences.
-
E.
Department of Computer Science
The Department of Computer Science is an academic unit within the Maseeh College of Engineering and Computer Science that focuses on education and research in computing and information technologies.
- F. None of above. chosen
Provenance (2 batches)
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.