Triple
T8308181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, Imperial College London |
E194516
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Mechanical Engineering, Imperial College London
The Department of Mechanical Engineering at Imperial College London is a leading UK academic department renowned for research and teaching in areas such as thermofluids, robotics, materials, and sustainable energy technologies.
|
E726966
|
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 Mechanical Engineering, Imperial College London | Statement: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Mechanical Engineering, Imperial College London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Imperial College London Context triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Mechanical Engineering, Imperial College London]
-
A.
Department of Mechanical Engineering, University of Sheffield
The Department of Mechanical Engineering at the University of Sheffield is a leading UK academic department specializing in research and education across core and advanced areas of mechanical engineering.
-
B.
Department of Mechanical and Aerospace Engineering, University of Strathclyde
The Department of Mechanical and Aerospace Engineering at the University of Strathclyde is an academic unit specializing in teaching and research in mechanical, aerospace, and related engineering disciplines.
-
C.
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.
-
D.
Institute of Mechanical Engineering
The Institute of Mechanical Engineering is a specialized research and academic unit within Hanoi University of Science and Technology focused on advancing mechanical engineering science, technology, and training.
-
E.
Department of Engineering, University of Bristol
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
- 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 Mechanical Engineering, Imperial College London Triple: [Faculty of Engineering, Imperial College London, hasDepartment, Department of Mechanical Engineering, Imperial College London]
Generated description
The Department of Mechanical Engineering at Imperial College London is a leading UK academic department renowned for research and teaching in areas such as thermofluids, robotics, materials, and sustainable energy technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering, Imperial College London Target entity description: The Department of Mechanical Engineering at Imperial College London is a leading UK academic department renowned for research and teaching in areas such as thermofluids, robotics, materials, and sustainable energy technologies.
-
A.
Department of Mechanical Engineering, University of Sheffield
The Department of Mechanical Engineering at the University of Sheffield is a leading UK academic department specializing in research and education across core and advanced areas of mechanical engineering.
-
B.
Department of Mechanical and Aerospace Engineering, University of Strathclyde
The Department of Mechanical and Aerospace Engineering at the University of Strathclyde is an academic unit specializing in teaching and research in mechanical, aerospace, and related engineering disciplines.
-
C.
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.
-
D.
Institute of Mechanical Engineering
The Institute of Mechanical Engineering is a specialized research and academic unit within Hanoi University of Science and Technology focused on advancing mechanical engineering science, technology, and training.
-
E.
Department of Engineering, University of Bristol
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
- 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.