Triple
T8308176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Imperial College London |
E194516
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Computing, Imperial College London
The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
|
E726961
|
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: Department of Computing, Imperial College London | Statement: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Computing, Imperial College London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computing, Imperial College London Context triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Computing, Imperial College London]
-
A.
Department of Computer Science and Technology, University of Cambridge
The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
-
B.
Department of Computer Science, University of Sheffield
The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
-
C.
School of Computing and Communications, Lancaster University
The School of Computing and Communications at Lancaster University is an academic department specializing in computer science, communications systems, and related digital technologies, offering teaching and research in these areas.
-
D.
School of Computer Science
The School of Computer Science at Chongqing University is an academic unit specializing in education and research in computer science and related technologies within the university.
-
E.
School of Computer Science
The School of Computer Science at Northwestern Polytechnical University is an academic unit specializing in computer science education and research within the university’s engineering and technology-focused framework.
- 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: Department of Computing, Imperial College London Triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Computing, Imperial College London]
Generated description
The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computing, Imperial College London Target entity description: The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
-
A.
Department of Computer Science and Technology, University of Cambridge
The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
-
B.
Department of Computer Science, University of Sheffield
The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
-
C.
School of Computing and Communications, Lancaster University
The School of Computing and Communications at Lancaster University is an academic department specializing in computer science, communications systems, and related digital technologies, offering teaching and research in these areas.
-
D.
School of Computer Science
The School of Computer Science at Northwestern Polytechnical University is an academic unit specializing in computer science education and research within the university’s engineering and technology-focused framework.
-
E.
School of Computer Science
The School of Computer Science is a leading academic unit of Reykjavík University specializing in education and research in computer science and related fields.
- 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.