Triple
T10384001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medical Sciences, Kyushu University |
E244711
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Kyushu University Graduate School of Medical Sciences
Kyushu University Graduate School of Medical Sciences is a leading Japanese graduate institution specializing in advanced medical and biomedical research and education within Kyushu University.
|
E244711
|
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: Kyushu University Graduate School of Medical Sciences | Statement: [Faculty of Medical Sciences, Kyushu University, associatedWith, Kyushu University Graduate School of Medical Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyushu University Graduate School of Medical Sciences Context triple: [Faculty of Medical Sciences, Kyushu University, associatedWith, Kyushu University Graduate School of Medical Sciences]
-
A.
Faculty of Medical Sciences, Kyushu University
The Faculty of Medical Sciences at Kyushu University is a core academic unit responsible for education and research in medicine and related health sciences at one of Japan’s leading national universities.
-
B.
Kyushu University Hospital
Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
-
C.
Kindai University Faculty of Medicine
Kindai University Faculty of Medicine is the medical school of Kindai University in Japan, providing education and research in clinical and biomedical sciences.
-
D.
Nagasaki University School of Medicine
Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
-
E.
Kyoto University Graduate School of Medicine
Kyoto University Graduate School of Medicine is a leading Japanese medical graduate school renowned for its advanced research, clinical training, and education in medicine and related health sciences.
- 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: Kyushu University Graduate School of Medical Sciences Triple: [Faculty of Medical Sciences, Kyushu University, associatedWith, Kyushu University Graduate School of Medical Sciences]
Generated description
Kyushu University Graduate School of Medical Sciences is a leading Japanese graduate institution specializing in advanced medical and biomedical research and education within Kyushu University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyushu University Graduate School of Medical Sciences Target entity description: Kyushu University Graduate School of Medical Sciences is a leading Japanese graduate institution specializing in advanced medical and biomedical research and education within Kyushu University.
-
A.
Faculty of Medical Sciences, Kyushu University
chosen
The Faculty of Medical Sciences at Kyushu University is a core academic unit responsible for education and research in medicine and related health sciences at one of Japan’s leading national universities.
-
B.
Kyushu University Hospital
Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
-
C.
Kindai University Faculty of Medicine
Kindai University Faculty of Medicine is the medical school of Kindai University in Japan, providing education and research in clinical and biomedical sciences.
-
D.
Nagasaki University School of Medicine
Nagasaki University School of Medicine is a Japanese medical school and research institution located in the city of Nagasaki, known for its contributions to medical education, clinical practice, and research, including in radiation and peace-related health studies.
-
E.
Kyoto University Graduate School of Medicine
Kyoto University Graduate School of Medicine is a leading Japanese medical graduate school renowned for its advanced research, clinical training, and education in medicine and related health sciences.
- F. None of above.
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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e6f30c88190992242b6e0c43581 |
completed | April 10, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:04 p.m.