Triple
T3589114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medical Sciences, Newcastle University |
E75981
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Population Health Sciences Institute, Newcastle University
The Population Health Sciences Institute at Newcastle University is a research and teaching institute focused on understanding and improving health outcomes at the population level through epidemiology, public health, and related disciplines.
|
E371658
|
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: Population Health Sciences Institute, Newcastle University | Statement: [Faculty of Medical Sciences, Newcastle University, hasPart, Population Health Sciences Institute, Newcastle University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Population Health Sciences Institute, Newcastle University Context triple: [Faculty of Medical Sciences, Newcastle University, hasPart, Population Health Sciences Institute, Newcastle University]
-
A.
National Institute for Health and Care Research
The National Institute for Health and Care Research is a UK government-funded organization that supports and coordinates health and care research to improve patient outcomes and inform healthcare policy.
-
B.
Department of Population Health Sciences, Duke University
The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
-
C.
Institute of Public Health
The Institute of Public Health is a research and teaching center focused on population health, epidemiology, and health policy within the medical faculty of Charité – Universitätsmedizin Berlin.
-
D.
Newcastle University
Newcastle University is a public research-intensive university in Newcastle upon Tyne, England, known for its strengths in science, engineering, medicine, and social sciences.
-
E.
Fielding School of Public Health
The Fielding School of Public Health is UCLA’s graduate school dedicated to education and research in public health disciplines such as epidemiology, health policy, environmental health, and community health sciences.
- 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: Population Health Sciences Institute, Newcastle University Triple: [Faculty of Medical Sciences, Newcastle University, hasPart, Population Health Sciences Institute, Newcastle University]
Generated description
The Population Health Sciences Institute at Newcastle University is a research and teaching institute focused on understanding and improving health outcomes at the population level through epidemiology, public health, and related disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Population Health Sciences Institute, Newcastle University Target entity description: The Population Health Sciences Institute at Newcastle University is a research and teaching institute focused on understanding and improving health outcomes at the population level through epidemiology, public health, and related disciplines.
-
A.
National Institute for Health and Care Research
The National Institute for Health and Care Research is a UK government-funded organization that supports and coordinates health and care research to improve patient outcomes and inform healthcare policy.
-
B.
Department of Population Health Sciences, Duke University
The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
-
C.
Institute of Public Health
The Institute of Public Health is a research and teaching center focused on population health, epidemiology, and health policy within the medical faculty of Charité – Universitätsmedizin Berlin.
-
D.
Newcastle University
Newcastle University is a public research-intensive university in Newcastle upon Tyne, England, known for its strengths in science, engineering, medicine, and social sciences.
-
E.
Fielding School of Public Health
The Fielding School of Public Health is UCLA’s graduate school dedicated to education and research in public health disciplines such as epidemiology, health policy, environmental health, and community health sciences.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13b2970819084181425b01f9595 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b40304a2e08190bcf25ddaf2bc5a2a |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b406f095488190b4543fa8008fe86c |
completed | March 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b40872099c81909bc3531bea77f875 |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.