Triple
T14920727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine and Health, University of Leeds |
E371501
|
entity |
| Predicate | hasAcademicUnit |
P1488
|
FINISHED |
| Object |
Leeds Institute of Cardiovascular and Metabolic Medicine
The Leeds Institute of Cardiovascular and Metabolic Medicine is a research and teaching institute at the University of Leeds focused on understanding, preventing, and treating cardiovascular and metabolic diseases.
|
E1126510
|
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: Leeds Institute of Cardiovascular and Metabolic Medicine | Statement: [Faculty of Medicine and Health, University of Leeds, hasAcademicUnit, Leeds Institute of Cardiovascular and Metabolic Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leeds Institute of Cardiovascular and Metabolic Medicine Context triple: [Faculty of Medicine and Health, University of Leeds, hasAcademicUnit, Leeds Institute of Cardiovascular and Metabolic Medicine]
-
A.
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.
-
B.
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.
-
C.
School of Cardiovascular & Metabolic Medicine & Sciences
The School of Cardiovascular & Metabolic Medicine & Sciences is an academic and research unit specializing in heart and metabolic diseases within the broader life sciences and medical field.
-
D.
Faculty of Medicine and Health, University of Leeds
The Faculty of Medicine and Health at the University of Leeds is a major academic division that delivers education, research, and clinical training across medicine, dentistry, healthcare, and related health sciences.
-
E.
Wellcome–MRC Institute of Metabolic Science
The Wellcome–MRC Institute of Metabolic Science is a leading research center at the University of Cambridge focused on understanding and treating metabolic diseases such as obesity and diabetes.
- 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: Leeds Institute of Cardiovascular and Metabolic Medicine Triple: [Faculty of Medicine and Health, University of Leeds, hasAcademicUnit, Leeds Institute of Cardiovascular and Metabolic Medicine]
Generated description
The Leeds Institute of Cardiovascular and Metabolic Medicine is a research and teaching institute at the University of Leeds focused on understanding, preventing, and treating cardiovascular and metabolic diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leeds Institute of Cardiovascular and Metabolic Medicine Target entity description: The Leeds Institute of Cardiovascular and Metabolic Medicine is a research and teaching institute at the University of Leeds focused on understanding, preventing, and treating cardiovascular and metabolic diseases.
-
A.
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.
-
B.
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.
-
C.
School of Cardiovascular & Metabolic Medicine & Sciences
The School of Cardiovascular & Metabolic Medicine & Sciences is an academic and research unit specializing in heart and metabolic diseases within the broader life sciences and medical field.
-
D.
Faculty of Medicine and Health, University of Leeds
The Faculty of Medicine and Health at the University of Leeds is a major academic division that delivers education, research, and clinical training across medicine, dentistry, healthcare, and related health sciences.
-
E.
Wellcome–MRC Institute of Metabolic Science
The Wellcome–MRC Institute of Metabolic Science is a leading research center at the University of Cambridge focused on understanding and treating metabolic diseases such as obesity and diabetes.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7477270c819094a908a05143619d |
completed | May 8, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7542e5948190866991cabdf97f0e |
completed | May 8, 2026, 11:44 p.m. |
Created at: April 10, 2026, 2:33 a.m.