Triple
T5652157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Institute of Public Health |
E124529
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Centre for Collaboration with Systems for Health Local Systems
The Centre for Collaboration with Systems for Health Local Systems is a specialized unit within Norway’s public health sector that focuses on improving and coordinating local health system performance through research, collaboration, and systems-based approaches.
|
E537534
|
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: Centre for Collaboration with Systems for Health Local Systems | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Local Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Systems for Health Local Systems Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Local Systems]
-
A.
Integrated Care Systems in England
Integrated Care Systems in England are regional partnerships that bring together NHS organizations, local authorities, and other stakeholders to plan and deliver coordinated health and care services for their populations.
-
B.
Office of Primary Care and Health Systems Management
The Office of Primary Care and Health Systems Management is a division of the New York State Department of Health responsible for overseeing and supporting primary care services and the broader health care delivery system across the state.
-
C.
Integrated Care Partnerships
Integrated Care Partnerships are collaborative alliances of local health, social care, and community organizations in England that set the overarching strategy and priorities for improving population health and reducing inequalities across an Integrated Care System area.
-
D.
Urban Health Collaborative
The Urban Health Collaborative is a research center focused on studying and improving health in cities, housed within Drexel University’s Dornsife School of Public Health.
-
E.
Integrating the Healthcare Enterprise
Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
- 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: Centre for Collaboration with Systems for Health Local Systems Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Systems for Health Local Systems]
Generated description
The Centre for Collaboration with Systems for Health Local Systems is a specialized unit within Norway’s public health sector that focuses on improving and coordinating local health system performance through research, collaboration, and systems-based approaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Systems for Health Local Systems Target entity description: The Centre for Collaboration with Systems for Health Local Systems is a specialized unit within Norway’s public health sector that focuses on improving and coordinating local health system performance through research, collaboration, and systems-based approaches.
-
A.
Integrated Care Systems in England
Integrated Care Systems in England are regional partnerships that bring together NHS organizations, local authorities, and other stakeholders to plan and deliver coordinated health and care services for their populations.
-
B.
Office of Primary Care and Health Systems Management
The Office of Primary Care and Health Systems Management is a division of the New York State Department of Health responsible for overseeing and supporting primary care services and the broader health care delivery system across the state.
-
C.
Integrated Care Partnerships
Integrated Care Partnerships are collaborative alliances of local health, social care, and community organizations in England that set the overarching strategy and priorities for improving population health and reducing inequalities across an Integrated Care System area.
-
D.
Urban Health Collaborative
The Urban Health Collaborative is a research center focused on studying and improving health in cities, housed within Drexel University’s Dornsife School of Public Health.
-
E.
Integrating the Healthcare Enterprise
Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d6af9481909eaeead2a39525ce |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d941ea4819084bab644d6cc2153 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04ede30088190a70607458f4653d0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb365cc8190b825f7c1d66aee0f |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.