Triple
T7923180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, The University of Tokyo |
E183993
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Biomedical Engineering
The Department of Biomedical Engineering at the University of Tokyo’s Faculty of Medicine is an academic unit focused on applying engineering principles and technologies to advance medical science, healthcare, and human health.
|
E702222
|
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 Biomedical Engineering | Statement: [Faculty of Medicine, The University of Tokyo, hasDepartment, Department of Biomedical Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Biomedical Engineering Context triple: [Faculty of Medicine, The University of Tokyo, hasDepartment, Department of Biomedical Engineering]
-
A.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit specializing in the application of engineering principles to medical and biological problems within the Schulich School of Engineering.
-
B.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit at McGill University that focuses on applying engineering principles and technologies to advance medical research, healthcare, and human health.
-
C.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit at Duke University's Pratt School of Engineering that focuses on applying engineering principles to advance medical and biological research, healthcare technologies, and clinical practice.
-
D.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit specializing in the application of engineering principles to medicine and biology, offering education and research programs in areas such as medical devices, imaging, and tissue engineering.
-
E.
Department of Bioengineering
The Department of Bioengineering at UC Berkeley is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as biomedical devices, synthetic biology, and computational biology.
- 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 Biomedical Engineering Triple: [Faculty of Medicine, The University of Tokyo, hasDepartment, Department of Biomedical Engineering]
Generated description
The Department of Biomedical Engineering at the University of Tokyo’s Faculty of Medicine is an academic unit focused on applying engineering principles and technologies to advance medical science, healthcare, and human health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Biomedical Engineering Target entity description: The Department of Biomedical Engineering at the University of Tokyo’s Faculty of Medicine is an academic unit focused on applying engineering principles and technologies to advance medical science, healthcare, and human health.
-
A.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit at McGill University that focuses on applying engineering principles and technologies to advance medical research, healthcare, and human health.
-
B.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit at Duke University's Pratt School of Engineering that focuses on applying engineering principles to advance medical and biological research, healthcare technologies, and clinical practice.
-
C.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit specializing in the application of engineering principles to medicine and biology, offering education and research programs in areas such as medical devices, imaging, and tissue engineering.
-
D.
Department of Biomedical Engineering
The Department of Biomedical Engineering is an academic unit specializing in the application of engineering principles to medical and biological problems within the Schulich School of Engineering.
-
E.
Department of Bioengineering
The Department of Bioengineering at Nagaoka University of Technology is an academic unit focused on applying engineering principles to biological and medical systems through education and research.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aaadd1c8190971f2a6c7636cae4 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe00951748190b6036cb359f2a6e3 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4888800819080eb11c9b7b7e28f |
completed | March 31, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc1175c8a481909b29d3b850ad9084 |
completed | March 31, 2026, 6:24 p.m. |
Created at: March 30, 2026, 5:06 p.m.