Triple
T6946394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepparton campus |
E160808
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
University of Melbourne Faculty of Medicine, Dentistry and Health Sciences
The University of Melbourne Faculty of Medicine, Dentistry and Health Sciences is a leading Australian health sciences faculty renowned for its medical, dental, and allied health education and research across multiple metropolitan and regional campuses.
|
E631953
|
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 Melbourne Faculty of Medicine, Dentistry and Health Sciences | Statement: [Shepparton campus, affiliatedWith, University of Melbourne Faculty of Medicine, Dentistry and Health Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Melbourne Faculty of Medicine, Dentistry and Health Sciences Context triple: [Shepparton campus, affiliatedWith, University of Melbourne Faculty of Medicine, Dentistry and Health Sciences]
-
A.
Monash University Victorian Heart Hospital campus
Monash University Victorian Heart Hospital campus is a specialized university campus co-located with a major cardiac hospital, integrating cardiovascular healthcare, research, and education.
-
B.
James Cook University College of Medicine and Dentistry
James Cook University College of Medicine and Dentistry is a medical and dental school in northern Queensland, Australia, focused on training health professionals for regional, rural, and remote communities.
-
C.
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.
-
D.
Monash University
Monash University is a major Australian public research university known for its strong global rankings, extensive international campuses, and wide range of academic and professional programs.
-
E.
Melbourne School of Population and Global Health
The Melbourne School of Population and Global Health is a leading academic institution at the University of Melbourne focused on research and education in public health, epidemiology, and global health policy.
- 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 Melbourne Faculty of Medicine, Dentistry and Health Sciences Triple: [Shepparton campus, affiliatedWith, University of Melbourne Faculty of Medicine, Dentistry and Health Sciences]
Generated description
The University of Melbourne Faculty of Medicine, Dentistry and Health Sciences is a leading Australian health sciences faculty renowned for its medical, dental, and allied health education and research across multiple metropolitan and regional campuses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Melbourne Faculty of Medicine, Dentistry and Health Sciences Target entity description: The University of Melbourne Faculty of Medicine, Dentistry and Health Sciences is a leading Australian health sciences faculty renowned for its medical, dental, and allied health education and research across multiple metropolitan and regional campuses.
-
A.
Monash University Victorian Heart Hospital campus
Monash University Victorian Heart Hospital campus is a specialized university campus co-located with a major cardiac hospital, integrating cardiovascular healthcare, research, and education.
-
B.
James Cook University College of Medicine and Dentistry
James Cook University College of Medicine and Dentistry is a medical and dental school in northern Queensland, Australia, focused on training health professionals for regional, rural, and remote communities.
-
C.
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.
-
D.
Monash University
Monash University is a major Australian public research university known for its strong global rankings, extensive international campuses, and wide range of academic and professional programs.
-
E.
Melbourne School of Population and Global Health
The Melbourne School of Population and Global Health is a leading academic institution at the University of Melbourne focused on research and education in public health, epidemiology, and global health policy.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7586b6f0c8190a6caad7d020e9c4d |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c75a417b7481908846a53712ea2323 |
completed | March 28, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75abf8de881908e1ae0a46da795bc |
completed | March 28, 2026, 4:36 a.m. |
Created at: March 27, 2026, 2:28 p.m.