Triple
T3101578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Centre for Health Leadership and Enterprise |
E64730
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
University of Cambridge health research ecosystem
The University of Cambridge health research ecosystem is a collaborative network of academic departments, research institutes, hospitals, and innovation centers that advances biomedical discovery, healthcare delivery, and health policy at a global level.
|
E94351
|
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: University of Cambridge health research ecosystem | Statement: [Cambridge Centre for Health Leadership and Enterprise, partOf, University of Cambridge health research ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Cambridge health research ecosystem Context triple: [Cambridge Centre for Health Leadership and Enterprise, partOf, University of Cambridge health research ecosystem]
-
A.
NIHR Cambridge Biomedical Research Centre
The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
-
B.
Cambridge Centre for Health Leadership and Enterprise
Cambridge Centre for Health Leadership and Enterprise is a research and education centre at Cambridge Judge Business School focused on improving leadership, innovation, and management in health and healthcare organizations.
-
C.
Cambridge life sciences ecosystem
The Cambridge life sciences ecosystem is a globally renowned cluster of research institutes, biotech companies, academic centers, and innovation hubs driving cutting-edge biomedical and life science research and commercialization in and around Cambridge, UK.
-
D.
Cambridge University Health Partners offices
Cambridge University Health Partners offices are administrative and coordination facilities for the academic health science centre that links leading hospitals, research institutes, and the University of Cambridge to advance healthcare innovation and delivery.
-
E.
Department of Public Health and Primary Care, University of Cambridge
The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
- 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: University of Cambridge health research ecosystem Triple: [Cambridge Centre for Health Leadership and Enterprise, partOf, University of Cambridge health research ecosystem]
Generated description
The University of Cambridge health research ecosystem is a collaborative network of academic departments, research institutes, hospitals, and innovation centers that advances biomedical discovery, healthcare delivery, and health policy at a global level.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Cambridge health research ecosystem Target entity description: The University of Cambridge health research ecosystem is a collaborative network of academic departments, research institutes, hospitals, and innovation centers that advances biomedical discovery, healthcare delivery, and health policy at a global level.
-
A.
NIHR Cambridge Biomedical Research Centre
The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
-
B.
Cambridge Centre for Health Leadership and Enterprise
Cambridge Centre for Health Leadership and Enterprise is a research and education centre at Cambridge Judge Business School focused on improving leadership, innovation, and management in health and healthcare organizations.
-
C.
Cambridge life sciences ecosystem
chosen
The Cambridge life sciences ecosystem is a globally renowned cluster of research institutes, biotech companies, academic centers, and innovation hubs driving cutting-edge biomedical and life science research and commercialization in and around Cambridge, UK.
-
D.
Cambridge University Health Partners offices
Cambridge University Health Partners offices are administrative and coordination facilities for the academic health science centre that links leading hospitals, research institutes, and the University of Cambridge to advance healthcare innovation and delivery.
-
E.
Department of Public Health and Primary Care, University of Cambridge
The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
- F. None of above.
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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20532b7388190be5f7bcf48db6f45 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2058d7c4c8190a44fc8745df3b1b3 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.