Triple
T8308177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Imperial College London |
E194516
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Dyson School of Design Engineering, Imperial College London
The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
|
E726962
|
NE FINISHED |
How this triple was built (4 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: Dyson School of Design Engineering, Imperial College London | Statement: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyson School of Design Engineering, Imperial College London Context triple: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
-
A.
Dyson Institute of Engineering and Technology
The Dyson Institute of Engineering and Technology is a private higher education institution in the UK that offers an industry-integrated engineering degree program where students both study and work within Dyson.
-
B.
James Dyson Foundation
The James Dyson Foundation is a charitable organization that supports design and engineering education and innovation, particularly among young people.
-
C.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
-
D.
Department of Engineering, University of Cambridge
The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
-
E.
Crystal Palace School of Engineering
Crystal Palace School of Engineering was a British technical institution known for training early 20th-century engineers, including aviation pioneer Geoffrey de Havilland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dyson School of Design Engineering, Imperial College London Triple: [Faculty of Engineering, Imperial College London, hasDepartment, Dyson School of Design Engineering, Imperial College London]
Generated description
The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dyson School of Design Engineering, Imperial College London Target entity description: The Dyson School of Design Engineering at Imperial College London is a leading academic department that combines engineering, design, and innovation to educate designers and engineers who develop user-centered technologies and products.
-
A.
Dyson Institute of Engineering and Technology
The Dyson Institute of Engineering and Technology is a private higher education institution in the UK that offers an industry-integrated engineering degree program where students both study and work within Dyson.
-
B.
James Dyson Foundation
The James Dyson Foundation is a charitable organization that supports design and engineering education and innovation, particularly among young people.
-
C.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
-
D.
Department of Engineering, University of Cambridge
The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
-
E.
Crystal Palace School of Engineering
Crystal Palace School of Engineering was a British technical institution known for training early 20th-century engineers, including aviation pioneer Geoffrey de Havilland.
- F. None of above. chosen
Provenance (5 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd955bd69081909d669139c576efb8 |
completed | April 1, 2026, 9:59 p.m. |
| NEDg | Description generation | batch_69cdb20cc18081908269516e49ce0fd3 |
completed | April 2, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb44ff9a88190bbcb4a56f9b44dc1 |
completed | April 2, 2026, 12:12 a.m. |
Created at: March 30, 2026, 5:54 p.m.