Triple
T19816776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hvidovre |
E476077
|
entity |
| Predicate | hasHospital |
P105
|
FINISHED |
| Object | Hvidovre Hospital |
—
|
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: Hvidovre Hospital | Statement: [Hvidovre, hasHospital, Hvidovre Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hvidovre Hospital Context triple: [Hvidovre, hasHospital, Hvidovre Hospital]
-
A.
Frederiksberg Hospital
Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
-
B.
Riget Hospital
Riget Hospital is a real Copenhagen hospital best known internationally as the eerie, central setting of Lars von Trier’s cult Danish TV series "The Kingdom."
-
C.
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.
-
D.
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.
-
E.
Rigshospitalet, Copenhagen, Denmark
Rigshospitalet in Copenhagen is Denmark’s leading university hospital and a major center for specialized medical treatment and research.
- 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: Hvidovre Hospital Target entity description: Hvidovre Hospital is a major Danish university and regional hospital located in Hvidovre, near Copenhagen, known for its emergency care, specialized medical services, and clinical research.
-
A.
Frederiksberg Hospital
Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
-
B.
Riget Hospital
Riget Hospital is a real Copenhagen hospital best known internationally as the eerie, central setting of Lars von Trier’s cult Danish TV series "The Kingdom."
-
C.
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.
-
D.
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.
-
E.
Rigshospitalet, Copenhagen, Denmark
Rigshospitalet in Copenhagen is Denmark’s leading university hospital and a major center for specialized medical treatment and research.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f9c5b08190987237f5144c3b37 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.