Triple
T17985891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Isabella of Denmark |
E430230
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Rigshospitalet, Copenhagen, Denmark |
—
|
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: Rigshospitalet, Copenhagen, Denmark | Statement: [Princess Isabella of Denmark, birthPlace, Rigshospitalet, Copenhagen, Denmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rigshospitalet, Copenhagen, Denmark Context triple: [Princess Isabella of Denmark, birthPlace, Rigshospitalet, Copenhagen, Denmark]
-
A.
Frederiksberg Hospital
Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
-
B.
Odense University Hospital
Odense University Hospital is a major Danish teaching and research hospital serving as the primary healthcare and clinical education center for the city of Odense and the surrounding region.
-
C.
Aarhus University Hospital
Aarhus University Hospital is a major Danish teaching and research hospital that serves as a primary clinical center for advanced medical care and education in collaboration with Aarhus University.
-
D.
Oslo University Hospital area
Oslo University Hospital area is a major medical and research campus in Oslo that hosts key clinical, educational, and biomedical research facilities associated with the University of Oslo.
-
E.
Karolinska University Hospital
Karolinska University Hospital is one of Sweden’s largest and most renowned teaching and research hospitals, closely linked to cutting-edge medical science and clinical care in Stockholm.
- 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: Rigshospitalet, Copenhagen, Denmark Target entity description: Rigshospitalet in Copenhagen is Denmark’s leading university hospital and a major center for specialized medical treatment and research.
-
A.
Frederiksberg Hospital
Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
-
B.
Odense University Hospital
Odense University Hospital is a major Danish teaching and research hospital serving as the primary healthcare and clinical education center for the city of Odense and the surrounding region.
-
C.
Aarhus University Hospital
Aarhus University Hospital is a major Danish teaching and research hospital that serves as a primary clinical center for advanced medical care and education in collaboration with Aarhus University.
-
D.
Oslo University Hospital area
Oslo University Hospital area is a major medical and research campus in Oslo that hosts key clinical, educational, and biomedical research facilities associated with the University of Oslo.
-
E.
Karolinska University Hospital
Karolinska University Hospital is one of Sweden’s largest and most renowned teaching and research hospitals, closely linked to cutting-edge medical science and clinical care in Stockholm.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.