Triple
T18650707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Physical and Mathematical Sciences |
E455925
|
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: [College of Physical and Mathematical 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: [College of Physical and Mathematical Sciences, hasDepartment, Department of Computer Science]
-
A.
Department of Computer Science
The Department of Computer Science at Sharif University of Technology is a leading Iranian academic unit specializing in computer science education and research.
-
B.
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.
-
C.
Department of Computer Science
The Department of Computer Science is an academic unit within the Donald Bren School of Information and Computer Sciences that focuses on education and research in computing and software-related disciplines.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
-
E.
Department of Computer Science
The Department of Computer Science at Hochschule Bonn-Rhein-Sieg is an academic unit focused on education and research in computer science and related 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 specializing in teaching and research in computing, algorithms, and software systems within the College of Physical and Mathematical Sciences.
-
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 within the Maseeh College of Engineering and Computer Science that focuses on education and research in computing and information technologies.
-
E.
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.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55010d27c8190aad8d3c9e8cd31b2 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.