Triple
T23231502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian society |
E581168
|
entity |
| Predicate | hasWelfareModel |
P8148
|
FINISHED |
| Object | Nordic welfare state |
—
|
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: Nordic welfare state | Statement: [Norwegian society, hasWelfareModel, Nordic welfare state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWelfareModel Context triple: [Norwegian society, hasWelfareModel, Nordic welfare state]
-
A.
welfareModel
chosen
Indicates a relationship where a system, policy, or framework defines how welfare or social support is structured, delivered, and governed for its beneficiaries.
-
B.
welfareSupportFeature
Indicates that an entity provides, enables, or is associated with some form of welfare-related assistance or support.
-
C.
hasCareModel
Indicates that one entity uses, follows, or is governed by a particular model or approach to providing care.
-
D.
welfareProgram
Indicates that an entity is involved in, provides, or is covered by a government or organizational welfare assistance program.
-
E.
welfareConcern
Indicates that one entity has a concern, issue, or responsibility related to the welfare or well-being of another entity.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1923325a08190a529da687de53489 |
completed | April 29, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.