Triple
T23301140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian health services |
E590304
|
entity |
| Predicate | patientContribution |
P151779
|
FINISHED |
| Object | user fees for some services |
—
|
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: user fees for some services | Statement: [Norwegian health services, patientContribution, user fees for some services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patientContribution Context triple: [Norwegian health services, patientContribution, user fees for some services]
-
A.
dischargeContribution
Indicates that one party fulfills or settles an owed contribution, obligation, or share toward another party or collective.
-
B.
bodyContribution
Indicates that an entity contributes a physical body or bodily component to another entity, process, or structure.
-
C.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
D.
tributeIn
Indicates that one entity pays or provides tribute within, or to the authority of, a specified place or jurisdiction.
-
E.
publicConsultationHeld
Indicates that a formal public consultation process has been conducted regarding a particular decision, policy, or project.
- F. None of above. chosen
Provenance (4 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d37fd08190ad2d199c54324c02 |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:04 p.m.