Triple
T13066236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Health and Medicine, University of Newcastle |
E329331
|
entity |
| Predicate | hasParentOrganization |
P10
|
FINISHED |
| Object |
College of Health, Medicine and Wellbeing, University of Newcastle
The College of Health, Medicine and Wellbeing at the University of Newcastle is an academic division that oversees education, research, and clinical training across health, medical, and wellbeing disciplines.
|
E1017499
|
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: College of Health, Medicine and Wellbeing, University of Newcastle | Statement: [Faculty of Health and Medicine, University of Newcastle, hasParentOrganization, College of Health, Medicine and Wellbeing, University of Newcastle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Health, Medicine and Wellbeing, University of Newcastle Context triple: [Faculty of Health and Medicine, University of Newcastle, hasParentOrganization, College of Health, Medicine and Wellbeing, University of Newcastle]
-
A.
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.
-
B.
School of Medical and Health Sciences
The School of Medical and Health Sciences is a faculty of Edith Cowan University that focuses on education and research in medicine, health, and related clinical and allied health disciplines.
-
C.
College of Medicine and Health
The College of Medicine and Health is the division of University College Cork responsible for education and research in medicine, health sciences, and related clinical disciplines.
-
D.
College of Medicine and Health
The College of Medicine and Health is a faculty of the University of Exeter that focuses on medical, clinical, and health-related education and research.
-
E.
College of Health and Medicine
The College of Health and Medicine is the Australian National University's academic division dedicated to education and research in medical, biomedical, and 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: College of Health, Medicine and Wellbeing, University of Newcastle Triple: [Faculty of Health and Medicine, University of Newcastle, hasParentOrganization, College of Health, Medicine and Wellbeing, University of Newcastle]
Generated description
The College of Health, Medicine and Wellbeing at the University of Newcastle is an academic division that oversees education, research, and clinical training across health, medical, and wellbeing disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Health, Medicine and Wellbeing, University of Newcastle Target entity description: The College of Health, Medicine and Wellbeing at the University of Newcastle is an academic division that oversees education, research, and clinical training across health, medical, and wellbeing disciplines.
-
A.
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.
-
B.
School of Medical and Health Sciences
The School of Medical and Health Sciences is a faculty of Edith Cowan University that focuses on education and research in medicine, health, and related clinical and allied health disciplines.
-
C.
College of Medicine and Health
The College of Medicine and Health is a faculty of the University of Exeter that focuses on medical, clinical, and health-related education and research.
-
D.
College of Medicine and Health
The College of Medicine and Health is the division of University College Cork responsible for education and research in medicine, health sciences, and related clinical disciplines.
-
E.
College of Health and Medicine
The College of Health and Medicine is the Australian National University's academic division dedicated to education and research in medical, biomedical, and 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe7abd0819085645e29d43493dd |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd3d5090819091b65f544ad139fd |
completed | May 3, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cdc8d52c819083717a455d589646 |
completed | May 3, 2026, 4:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.