Triple
T22586112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford University departments |
E564796
|
entity |
| Predicate | includesDepartment |
P12024
|
FINISHED |
| Object | Department of Engineering 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 Engineering Science | Statement: [Oxford University departments, includesDepartment, Department of Engineering Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Engineering Science Context triple: [Oxford University departments, includesDepartment, Department of Engineering Science]
-
A.
School of Engineering Science
The School of Engineering Science at Osaka University is a faculty that integrates advanced engineering, science, and technology education and research, emphasizing interdisciplinary approaches to complex scientific and industrial challenges.
-
B.
School of Engineering Science
The School of Engineering Science is an academic unit of LUT University that focuses on education and research in engineering and related scientific disciplines.
-
C.
School of Engineering Science
The School of Engineering Science is an academic unit of the University of Science and Technology of China focused on interdisciplinary engineering education and research.
-
D.
Department of Engineering
The Department of Engineering is an academic unit of Klaipėda University that provides engineering education and conducts research in technical and applied sciences.
-
E.
Department of Engineering
The Department of Engineering at the University of Ferrara is an academic unit dedicated to education and research in various engineering disciplines within the Italian university system.
- 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 Engineering Science Target entity description: The Department of Engineering Science at the University of Oxford is a leading academic department that integrates teaching and research across multiple engineering disciplines, from civil and mechanical to biomedical and information engineering.
-
A.
School of Engineering Science
The School of Engineering Science at Osaka University is a faculty that integrates advanced engineering, science, and technology education and research, emphasizing interdisciplinary approaches to complex scientific and industrial challenges.
-
B.
School of Engineering Science
The School of Engineering Science is an academic unit of LUT University that focuses on education and research in engineering and related scientific disciplines.
-
C.
School of Engineering Science
The School of Engineering Science is an academic unit of the University of Science and Technology of China focused on interdisciplinary engineering education and research.
-
D.
Department of Engineering
The Department of Engineering is an academic unit of Klaipėda University that provides engineering education and conducts research in technical and applied sciences.
-
E.
Department of Engineering
The Department of Engineering at the University of Ferrara is an academic unit dedicated to education and research in various engineering disciplines within the Italian university system.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615d1fe081908079f777cdab12a2 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:46 p.m.