Triple
T7101621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Public Health (Charité) |
E165471
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Health Policy and Systems
The Department of Health Policy and Systems is an academic and research unit focused on analyzing, developing, and improving health policies and health systems organization and performance.
|
E641630
|
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 Health Policy and Systems | Statement: [Institute of Public Health (Charité), hasUnit, Department of Health Policy and Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Health Policy and Systems Context triple: [Institute of Public Health (Charité), hasUnit, Department of Health Policy and Systems]
-
A.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
-
B.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit that focuses on research and education in health policy, health systems, and healthcare management within the Mailman School of Public Health.
-
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.
Institute of Health Services and Policy Research
The Institute of Health Services and Policy Research is a Canadian national research body that supports and advances studies on health systems, health services, and health policy to improve the organization, delivery, and effectiveness of healthcare.
-
E.
Health Policy and Analytics Division
The Health Policy and Analytics Division is a unit of the Oregon Health Authority responsible for developing, analyzing, and guiding health policy and data-driven strategies to improve health outcomes in Oregon.
- 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 Health Policy and Systems Triple: [Institute of Public Health (Charité), hasUnit, Department of Health Policy and Systems]
Generated description
The Department of Health Policy and Systems is an academic and research unit focused on analyzing, developing, and improving health policies and health systems organization and performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Health Policy and Systems Target entity description: The Department of Health Policy and Systems is an academic and research unit focused on analyzing, developing, and improving health policies and health systems organization and performance.
-
A.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
-
B.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit that focuses on research and education in health policy, health systems, and healthcare management within the Mailman School of Public Health.
-
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.
Institute of Health Services and Policy Research
The Institute of Health Services and Policy Research is a Canadian national research body that supports and advances studies on health systems, health services, and health policy to improve the organization, delivery, and effectiveness of healthcare.
-
E.
Health Policy and Analytics Division
The Health Policy and Analytics Division is a unit of the Oregon Health Authority responsible for developing, analyzing, and guiding health policy and data-driven strategies to improve health outcomes in Oregon.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca9b58c8190a91023de6811b21a |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d16d3408190a36ab53d5d202e15 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dc7d7d8819097e423ef70b03040 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:42 p.m.