Triple
T22770464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor honoris causa, University of Oslo |
E563540
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | University of Oslo Faculty of Medicine |
—
|
NE NERFINISHED |
How this triple was built (3 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 Oslo Faculty of Medicine | Statement: [Doctor honoris causa, University of Oslo, associatedWith, University of Oslo Faculty of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Oslo Faculty of Medicine Context triple: [Doctor honoris causa, University of Oslo, associatedWith, University of Oslo Faculty of Medicine]
-
A.
Oslo University Hospital Rikshospitalet
Oslo University Hospital Rikshospitalet is a major Norwegian university hospital and national referral center known for advanced specialized care, research, and education in Oslo.
-
B.
University of Oslo
The University of Oslo is Norway’s oldest and largest university, renowned for its research and education across a wide range of academic disciplines.
-
C.
University of Bergen
The University of Bergen is a major Norwegian public research university located in the coastal city of Bergen, known for its strong programs in marine, climate, and Arctic research.
-
D.
Rectorate of the University of Oslo
The Rectorate of the University of Oslo is the university’s top executive leadership body, headed by the rector and responsible for overall strategic, academic, and administrative governance.
-
E.
Oslo Metropolitan University
Oslo Metropolitan University is a public university in Norway’s capital that offers a wide range of professional and research-based programs with a strong focus on applied sciences and societal development.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University of Oslo Faculty of Medicine Target entity description: The University of Oslo Faculty of Medicine is Norway’s oldest and largest medical faculty, responsible for educating physicians and conducting leading biomedical and health research at the University of Oslo.
-
A.
Oslo University Hospital Rikshospitalet
Oslo University Hospital Rikshospitalet is a major Norwegian university hospital and national referral center known for advanced specialized care, research, and education in Oslo.
-
B.
University of Oslo
The University of Oslo is Norway’s oldest and largest university, renowned for its research and education across a wide range of academic disciplines.
-
C.
University of Bergen
The University of Bergen is a major Norwegian public research university located in the coastal city of Bergen, known for its strong programs in marine, climate, and Arctic research.
-
D.
Rectorate of the University of Oslo
The Rectorate of the University of Oslo is the university’s top executive leadership body, headed by the rector and responsible for overall strategic, academic, and administrative governance.
-
E.
Oslo Metropolitan University
Oslo Metropolitan University is a public university in Norway’s capital that offers a wide range of professional and research-based programs with a strong focus on applied sciences and societal development.
- F. None of above. chosen
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.