Triple
T4662441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biological Sciences Division, University of Chicago |
E102564
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Department of Public Health Sciences, University of Chicago
The Department of Public Health Sciences at the University of Chicago is an academic department focused on research and education in public health, epidemiology, and health policy within the university’s medical and biological sciences enterprise.
|
E458588
|
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 Public Health Sciences, University of Chicago | Statement: [Biological Sciences Division, University of Chicago, hasPart, Department of Public Health Sciences, University of Chicago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Public Health Sciences, University of Chicago Context triple: [Biological Sciences Division, University of Chicago, hasPart, Department of Public Health Sciences, University of Chicago]
-
A.
UW School of Public Health
The UW School of Public Health is a leading academic institution at the University of Washington dedicated to research, education, and community engagement to improve population health locally and globally.
-
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.
Milken Institute School of Public Health
The Milken Institute School of Public Health is George Washington University’s public health school, known for its programs and research in global health, health policy, and population health.
-
D.
Department of Population Health Sciences, Duke University
The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
-
E.
Mailman School of Public Health
The Mailman School of Public Health is Columbia University's graduate school dedicated to public health education, research, and policy.
- 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 Public Health Sciences, University of Chicago Triple: [Biological Sciences Division, University of Chicago, hasPart, Department of Public Health Sciences, University of Chicago]
Generated description
The Department of Public Health Sciences at the University of Chicago is an academic department focused on research and education in public health, epidemiology, and health policy within the university’s medical and biological sciences enterprise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Public Health Sciences, University of Chicago Target entity description: The Department of Public Health Sciences at the University of Chicago is an academic department focused on research and education in public health, epidemiology, and health policy within the university’s medical and biological sciences enterprise.
-
A.
UW School of Public Health
The UW School of Public Health is a leading academic institution at the University of Washington dedicated to research, education, and community engagement to improve population health locally and globally.
-
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.
Milken Institute School of Public Health
The Milken Institute School of Public Health is George Washington University’s public health school, known for its programs and research in global health, health policy, and population health.
-
D.
Department of Population Health Sciences, Duke University
The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
-
E.
Mailman School of Public Health
The Mailman School of Public Health is Columbia University's graduate school dedicated to public health education, research, and policy.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632b7fb88190821f213620719d6b |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfafcd3908190aabf7975017ce337 |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfc7b84108190af39c7780f702745 |
completed | March 21, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfd3856b48190a44f49da5fde38f6 |
completed | March 21, 2026, 2:06 a.m. |
Created at: March 20, 2026, 1:15 p.m.