Triple
T37976281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish public dental services |
E947431
|
entity |
| Predicate | hasSubsidyScheme |
P84062
|
FINISHED |
| Object | high-cost protection for dental 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: high-cost protection for dental care | Statement: [Swedish public dental services, hasSubsidyScheme, high-cost protection for dental care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsidyScheme Context triple: [Swedish public dental services, hasSubsidyScheme, high-cost protection for dental care]
-
A.
typeOfSubsidy
Indicates that one entity is a specific kind or category of subsidy in relation to another entity.
-
B.
hasLowIncomeSubsidyProgram
Indicates that an entity operates or offers a program providing financial assistance or subsidies specifically targeted at individuals or groups with low income.
-
C.
hasFinancialIncentive
Indicates that an entity stands to gain a monetary or economic benefit from a particular action, decision, or outcome.
-
D.
hasAidProgram
chosen
Indicates that one entity provides or maintains an aid or assistance program for another entity or group.
-
E.
positionOnSubsidies
Indicates the stance or viewpoint an entity holds regarding the use, level, or policy of subsidies.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
Created at: May 3, 2026, 4:20 p.m.