Triple
T17012938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Mechanical Engineering, University of Sheffield |
E412746
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Faculty of Engineering, University of Sheffield
The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments and research centers, recognized for its contributions to engineering education and innovation.
|
E1247000
|
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: Faculty of Engineering, University of Sheffield | Statement: [Department of Mechanical Engineering, University of Sheffield, partOf, Faculty of Engineering, University of Sheffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering, University of Sheffield Context triple: [Department of Mechanical Engineering, University of Sheffield, partOf, Faculty of Engineering, University of Sheffield]
-
A.
School of Architecture, University of Sheffield
The School of Architecture at the University of Sheffield is a leading UK architecture school known for its strong emphasis on socially engaged design, sustainability, and innovative architectural education and research.
-
B.
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.
-
C.
Department of Electronic and Electrical Engineering, University of Sheffield
The Department of Electronic and Electrical Engineering at the University of Sheffield is an academic department specializing in teaching and research across areas such as electronics, electrical power, communications, and control systems within the university’s Faculty of Engineering.
-
D.
University of Sheffield
The University of Sheffield is a leading public research university in Sheffield, England, renowned for its strong academic programs and membership in major UK research collaborations.
-
E.
Department of Automatic Control and Systems Engineering, University of Sheffield
The Department of Automatic Control and Systems Engineering at the University of Sheffield is a leading UK academic department specializing in control, systems engineering, and related interdisciplinary research and 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: Faculty of Engineering, University of Sheffield Triple: [Department of Mechanical Engineering, University of Sheffield, partOf, Faculty of Engineering, University of Sheffield]
Generated description
The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments and research centers, recognized for its contributions to engineering education and innovation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering, University of Sheffield Target entity description: The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments and research centers, recognized for its contributions to engineering education and innovation.
-
A.
School of Architecture, University of Sheffield
The School of Architecture at the University of Sheffield is a leading UK architecture school known for its strong emphasis on socially engaged design, sustainability, and innovative architectural education and research.
-
B.
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.
-
C.
Department of Electronic and Electrical Engineering, University of Sheffield
The Department of Electronic and Electrical Engineering at the University of Sheffield is an academic department specializing in teaching and research across areas such as electronics, electrical power, communications, and control systems within the university’s Faculty of Engineering.
-
D.
University of Sheffield
The University of Sheffield is a leading public research university in Sheffield, England, renowned for its strong academic programs and membership in major UK research collaborations.
-
E.
Department of Automatic Control and Systems Engineering, University of Sheffield
The Department of Automatic Control and Systems Engineering at the University of Sheffield is a leading UK academic department specializing in control, systems engineering, and related interdisciplinary research and 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47dab688190bf486bcf0b40ed4f |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011cc1afc48190b83e3203407c1d7f |
completed | May 11, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d67c82c8190b737406e8952eb2b |
completed | May 11, 2026, 12:05 a.m. |
Created at: April 10, 2026, 5:33 a.m.