Triple
T7287420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo University Hospital Rikshospitalet |
E163907
|
entity |
| Predicate | typeOfEmergencyCare |
P33503
|
FINISHED |
| Object | advanced emergency care |
—
|
LITERAL FINISHED |
How this triple was built (2 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: advanced emergency care | Statement: [Oslo University Hospital Rikshospitalet, typeOfEmergencyCare, advanced emergency care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEmergencyCare Context triple: [Oslo University Hospital Rikshospitalet, typeOfEmergencyCare, advanced emergency care]
-
A.
typeOfEmergencyService
chosen
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
B.
hasEmergencyCare
Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
-
C.
emergencyDefinitionSection
Indicates a section that defines or explains what constitutes an emergency within a given context or document.
-
D.
emergencyDepartment
Indicates that an entity is associated with, located in, or functions as an emergency department within a healthcare or medical context.
-
E.
resultOfEmergency
Indicates that something occurs or exists as a direct consequence of an emergency situation or event.
- F. None of above.
Provenance (3 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.