Triple
T22407304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Technology Akure |
E553909
|
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: [Federal University of Technology Akure, 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: [Federal University of Technology Akure, hasDepartment, Department of Computer Science]
-
A.
Department of Computer Science
The Department of Computer Science at Nagoya Institute of Technology is an academic unit focused on education and research in computing, information technology, and related engineering fields.
-
B.
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.
-
C.
Department of Computer Science
The Department of Computer Science is an academic unit within Indiana University’s Luddy School of Informatics, Computing, and Engineering that focuses on education and research in computing and information technologies.
-
D.
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.
-
E.
Department of Computer Science
The Department of Computer Science at Western University is an academic unit that offers education and conducts 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 at the Federal University of Technology Akure that focuses on teaching and research in computing, software development, and information technology.
-
A.
Department of Computer Science
The Department of Computer Science at the Federal University of Lafia is an academic unit focused on teaching and research in computing, software development, and information technology.
-
B.
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.
-
C.
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.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit that offers education and conducts research in computing and information technologies within the Ira A. Fulton College of Engineering.
-
E.
Department of Computer Science
The Department of Computer Science is an academic unit at a university dedicated to teaching and researching computing, algorithms, and software and hardware systems.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158ba1c6481908e4b9b3635ed3a49 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.