Triple
T19926186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindai University Faculty of Medicine |
E478927
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Public Health |
—
|
NE NERFINISHED |
How this triple was built (3 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 Public Health | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Public Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Public Health Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Public Health]
-
A.
Department of Public Health
The Department of Public Health is an academic unit specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.
-
B.
Department of Public Health
The Department of Public Health is an academic unit within the University of Chile’s Faculty of Medicine dedicated to research, teaching, and policy guidance on population health and health systems.
-
C.
Department of Public Health
The Department of Public Health is an academic unit focused on education and research in population health, disease prevention, and health policy within the Falk College of Sport and Human Dynamics.
-
D.
Department of Public Health
The Department of Public Health is an academic unit within Ankara University’s Faculty of Medicine that focuses on population health, disease prevention, and health policy research and education.
-
E.
Department of Public Health
The Department of Public Health is an academic unit specializing in population health, disease prevention, and health policy within Hacettepe University’s Faculty of Medicine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Public Health Target entity description: The Department of Public Health at Kindai University Faculty of Medicine is an academic unit focused on research and education in population health, disease prevention, and health policy.
-
A.
Department of Public Health
The Department of Public Health is an academic unit specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.
-
B.
Department of Public Health
The Department of Public Health at Osaka University’s Graduate School of Medicine is an academic and research unit focused on population health, disease prevention, and health policy.
-
C.
Department of Public Health
The Department of Public Health at the University of Tokyo’s Faculty of Medicine is an academic and research unit focused on population health, epidemiology, health policy, and preventive medicine.
-
D.
Department of Public Health
The Department of Public Health is an academic unit within Tohoku University's Faculty of Medicine that focuses on research and education in population health, disease prevention, and health policy.
-
E.
Department of Public Health
The Department of Public Health is an academic unit at the University of Helsinki’s Faculty of Medicine that conducts research and education on population health, epidemiology, and health policy.
- F. None of above. chosen
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.