Triple
T10073921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Iowa College of Public Health |
E213699
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Epidemiology
The Department of Epidemiology is an academic unit focused on studying the patterns, causes, and prevention of disease in populations through research, education, and public health practice.
|
E838300
|
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 Epidemiology | Statement: [University of Iowa College of Public Health, hasDepartment, Department of Epidemiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Epidemiology Context triple: [University of Iowa College of Public Health, hasDepartment, Department of Epidemiology]
-
A.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
-
B.
Department of Epidemiology, Harvard T.H. Chan School of Public Health
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research department focused on studying the distribution, determinants, and prevention of disease in populations worldwide.
-
C.
Department of Population Health
The Department of Population Health is an academic and research unit at NYU Grossman School of Medicine focused on studying and improving health outcomes at the community and population levels through epidemiology, health policy, and related disciplines.
-
D.
Department of Epidemiology, Biostatistics and Occupational Health
The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
-
E.
Department of Public Health Sciences
The Department of Public Health Sciences is an academic unit focused on research and education in population health, epidemiology, and health policy within the School of Medicine and Dentistry.
- 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 Epidemiology Triple: [University of Iowa College of Public Health, hasDepartment, Department of Epidemiology]
Generated description
The Department of Epidemiology is an academic unit focused on studying the patterns, causes, and prevention of disease in populations through research, education, and public health practice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Epidemiology Target entity description: The Department of Epidemiology is an academic unit focused on studying the patterns, causes, and prevention of disease in populations through research, education, and public health practice.
-
A.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
-
B.
Department of Epidemiology, Harvard T.H. Chan School of Public Health
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research department focused on studying the distribution, determinants, and prevention of disease in populations worldwide.
-
C.
Department of Population Health
The Department of Population Health is an academic and research unit at NYU Grossman School of Medicine focused on studying and improving health outcomes at the community and population levels through epidemiology, health policy, and related disciplines.
-
D.
Department of Epidemiology, Biostatistics and Occupational Health
The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
-
E.
Department of Public Health Sciences
The Department of Public Health Sciences is an academic unit focused on research and education in population health, epidemiology, and health policy within the School of Medicine and Dentistry.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd015ad488190aee3a2bfb58fb855 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29abcb72c81908c265f057532ccb7 |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29b9910448190b148841c85f73501 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c285090819093e1a584c1ae9556 |
completed | April 5, 2026, 5:30 p.m. |
Created at: March 30, 2026, 8:59 p.m.