Triple
T13799391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västra Götaland Regional Council |
E331597
|
entity |
| Predicate | typeOfHealthcareSystem |
P7500
|
FINISHED |
| Object | tax-funded healthcare |
—
|
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: tax-funded healthcare | Statement: [Västra Götaland Regional Council, typeOfHealthcareSystem, tax-funded healthcare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHealthcareSystem Context triple: [Västra Götaland Regional Council, typeOfHealthcareSystem, tax-funded healthcare]
-
A.
healthcareType
chosen
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
B.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
C.
healthSystemLevel
Indicates the level or tier within a health system at which a given action, service, or relationship occurs (e.g., local, regional, national).
-
D.
hasHospitalType
Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
-
E.
hasOwnHealthSystem
Indicates that an entity operates and controls its own dedicated healthcare system, rather than relying solely on external or shared health services.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.