Triple
T13552395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarhus University Hospital |
E323681
|
entity |
| Predicate | educationPartner |
P17292
|
FINISHED |
| Object |
Aarhus University Faculty of Health
Aarhus University Faculty of Health is a major Danish academic institution responsible for education and research in health sciences, including medicine, dentistry, public health, and related fields.
|
E1047331
|
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: Aarhus University Faculty of Health | Statement: [Aarhus University Hospital, educationPartner, Aarhus University Faculty of Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarhus University Faculty of Health Context triple: [Aarhus University Hospital, educationPartner, Aarhus University Faculty of Health]
-
A.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Surrey’s academic division dedicated to education and research in healthcare, medicine, and related life sciences.
-
B.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Copenhagen’s main division for education and research in medicine, health sciences, and related biomedical fields.
-
C.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Western Australia’s academic division responsible for education and research in medicine, health, and biomedical sciences.
-
D.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Adelaide’s division dedicated to education and research in medicine, health, and biomedical sciences.
-
E.
Faculty of Health-Care Sciences
The Faculty of Health-Care Sciences is an academic division of Eastern University, Sri Lanka, dedicated to training healthcare professionals and conducting education and research in medical and health-related fields.
- 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: Aarhus University Faculty of Health Triple: [Aarhus University Hospital, educationPartner, Aarhus University Faculty of Health]
Generated description
Aarhus University Faculty of Health is a major Danish academic institution responsible for education and research in health sciences, including medicine, dentistry, public health, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aarhus University Faculty of Health Target entity description: Aarhus University Faculty of Health is a major Danish academic institution responsible for education and research in health sciences, including medicine, dentistry, public health, and related fields.
-
A.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Surrey’s academic division dedicated to education and research in healthcare, medicine, and related life sciences.
-
B.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Copenhagen’s main division for education and research in medicine, health sciences, and related biomedical fields.
-
C.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Western Australia’s academic division responsible for education and research in medicine, health, and biomedical sciences.
-
D.
Faculty of Health and Medical Sciences
The Faculty of Health and Medical Sciences is the University of Adelaide’s division dedicated to education and research in medicine, health, and biomedical sciences.
-
E.
Faculty of Health-Care Sciences
The Faculty of Health-Care Sciences is an academic division of Eastern University, Sri Lanka, dedicated to training healthcare professionals and conducting education and research in medical and health-related fields.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:46 p.m.