Triple
T18725647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia-Maryland College of Veterinary Medicine |
E457891
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Department of Population Health Sciences
The Department of Population Health Sciences is an academic unit within the Virginia-Maryland College of Veterinary Medicine focused on epidemiology, public health, and population-based approaches to animal and human health.
|
E1339980
|
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 Population Health Sciences | Statement: [Virginia-Maryland College of Veterinary Medicine, hasDivision, Department of Population Health Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Population Health Sciences Context triple: [Virginia-Maryland College of Veterinary Medicine, hasDivision, Department of Population Health Sciences]
-
A.
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.
-
B.
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.
-
C.
Department of Sociomedical Sciences
The Department of Sociomedical Sciences is an academic unit at Columbia University's Mailman School of Public Health that focuses on the social, behavioral, and cultural determinants of health and their implications for public health policy and practice.
-
D.
School of Population Health
The School of Population Health is an academic unit focused on public health, epidemiology, and health policy research and education within a medical and health sciences faculty.
-
E.
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.
- 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 Population Health Sciences Triple: [Virginia-Maryland College of Veterinary Medicine, hasDivision, Department of Population Health Sciences]
Generated description
The Department of Population Health Sciences is an academic unit within the Virginia-Maryland College of Veterinary Medicine focused on epidemiology, public health, and population-based approaches to animal and human health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Population Health Sciences Target entity description: The Department of Population Health Sciences is an academic unit within the Virginia-Maryland College of Veterinary Medicine focused on epidemiology, public health, and population-based approaches to animal and human health.
-
A.
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.
-
B.
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.
-
C.
Department of Sociomedical Sciences
The Department of Sociomedical Sciences is an academic unit at Columbia University's Mailman School of Public Health that focuses on the social, behavioral, and cultural determinants of health and their implications for public health policy and practice.
-
D.
School of Population Health
The School of Population Health is an academic unit focused on public health, epidemiology, and health policy research and education within a medical and health sciences faculty.
-
E.
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.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d73f68c81908a9ddf2cc2fb9813 |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325630e881908720d703b24bcee2 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a053402521c8190927afa670fb8e38e |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 11:50 a.m.