Triple
T12337534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, University of New South Wales |
E294128
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
School of Biomedical Engineering, UNSW
The School of Biomedical Engineering at UNSW is an academic unit specializing in the research and teaching of biomedical engineering, integrating engineering principles with medical and biological sciences.
|
E978497
|
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: School of Biomedical Engineering, UNSW | Statement: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Biomedical Engineering, UNSW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Biomedical Engineering, UNSW Context triple: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Biomedical Engineering, UNSW]
-
A.
School of Biomedical Engineering
The School of Biomedical Engineering is an academic unit of Shanghai Jiao Tong University dedicated to education and research at the intersection of engineering, medicine, and life sciences.
-
B.
School of Biomedical Engineering
The School of Biomedical Engineering is an academic unit of Chongqing Medical University specializing in the integration of engineering principles with medical and biological sciences for healthcare innovation, research, and education.
-
C.
Graduate School of Biomedical Engineering
The Graduate School of Biomedical Engineering is a specialized graduate institution at Tohoku University focused on advanced research and education at the intersection of engineering, medicine, and life sciences.
-
D.
Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic division of Amirkabir University of Technology specializing in the application of engineering principles to medicine and biology, including areas such as medical devices, imaging, and biomaterials.
-
E.
Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is a specialized unit of the Czech Technical University in Prague focused on education and research at the intersection of engineering, medicine, and healthcare technologies.
- 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: School of Biomedical Engineering, UNSW Triple: [Faculty of Engineering, University of New South Wales, hasDepartment, School of Biomedical Engineering, UNSW]
Generated description
The School of Biomedical Engineering at UNSW is an academic unit specializing in the research and teaching of biomedical engineering, integrating engineering principles with medical and biological sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Biomedical Engineering, UNSW Target entity description: The School of Biomedical Engineering at UNSW is an academic unit specializing in the research and teaching of biomedical engineering, integrating engineering principles with medical and biological sciences.
-
A.
School of Biomedical Engineering
The School of Biomedical Engineering is an academic unit of Chongqing Medical University specializing in the integration of engineering principles with medical and biological sciences for healthcare innovation, research, and education.
-
B.
School of Biomedical Engineering
The School of Biomedical Engineering is an academic unit of Shanghai Jiao Tong University dedicated to education and research at the intersection of engineering, medicine, and life sciences.
-
C.
Graduate School of Biomedical Engineering
The Graduate School of Biomedical Engineering is a specialized graduate institution at Tohoku University focused on advanced research and education at the intersection of engineering, medicine, and life sciences.
-
D.
Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is an academic division of Amirkabir University of Technology specializing in the application of engineering principles to medicine and biology, including areas such as medical devices, imaging, and biomaterials.
-
E.
Faculty of Biomedical Engineering
The Faculty of Biomedical Engineering is a specialized unit of the Czech Technical University in Prague focused on education and research at the intersection of engineering, medicine, and healthcare technologies.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.