Triple
T7974821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medical Sciences, UCL |
E185416
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
UCL Institute of Cardiovascular Science
UCL Institute of Cardiovascular Science is a leading University College London research institute dedicated to advancing understanding, prevention, and treatment of cardiovascular diseases through interdisciplinary research and education.
|
E703025
|
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: UCL Institute of Cardiovascular Science | Statement: [Faculty of Medical Sciences, UCL, associatedWith, UCL Institute of Cardiovascular Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCL Institute of Cardiovascular Science Context triple: [Faculty of Medical Sciences, UCL, associatedWith, UCL Institute of Cardiovascular Science]
-
A.
UCL Wolfson Institute for Biomedical Research
The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
-
B.
UCL Faculty of Medical Sciences
UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
-
C.
UCLH Biomedical Research Centre
The UCLH Biomedical Research Centre is a major UK academic health science hub that supports cutting-edge translational research and innovation in partnership with University College London Hospitals and UCL.
-
D.
UCL School of Life and Medical Sciences
UCL School of Life and Medical Sciences is a major academic division of University College London that brings together leading faculties and institutes in life sciences, medicine, neuroscience, and related health disciplines.
-
E.
Centre for Cardiovascular Disease
The Centre for Cardiovascular Disease is a specialized unit within Norway’s public health system that focuses on research, surveillance, and prevention of heart and vascular diseases.
- 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: UCL Institute of Cardiovascular Science Triple: [Faculty of Medical Sciences, UCL, associatedWith, UCL Institute of Cardiovascular Science]
Generated description
UCL Institute of Cardiovascular Science is a leading University College London research institute dedicated to advancing understanding, prevention, and treatment of cardiovascular diseases through interdisciplinary research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCL Institute of Cardiovascular Science Target entity description: UCL Institute of Cardiovascular Science is a leading University College London research institute dedicated to advancing understanding, prevention, and treatment of cardiovascular diseases through interdisciplinary research and education.
-
A.
UCL Wolfson Institute for Biomedical Research
The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
-
B.
UCL Faculty of Medical Sciences
UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
-
C.
UCLH Biomedical Research Centre
The UCLH Biomedical Research Centre is a major UK academic health science hub that supports cutting-edge translational research and innovation in partnership with University College London Hospitals and UCL.
-
D.
UCL School of Life and Medical Sciences
UCL School of Life and Medical Sciences is a major academic division of University College London that brings together leading faculties and institutes in life sciences, medicine, neuroscience, and related health disciplines.
-
E.
Centre for Cardiovascular Disease
The Centre for Cardiovascular Disease is a specialized unit within Norway’s public health system that focuses on research, surveillance, and prevention of heart and vascular diseases.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.