Triple
T31550472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland’s economic development |
E804986
|
entity |
| Predicate | keyInstitutionalFeature |
P53331
|
FINISHED |
| Object | universal 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: universal welfare state | Statement: [Finland’s economic development, keyInstitutionalFeature, universal welfare state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyInstitutionalFeature Context triple: [Finland’s economic development, keyInstitutionalFeature, universal welfare state]
-
A.
institutionalFeature
chosen
Indicates that something is a characteristic, structure, or property that defines or shapes an institution or institutional arrangement.
-
B.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
C.
keyFeature
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
D.
memberInstitutionCharacteristic
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
-
E.
isInstitutional
Indicates that an entity functions as or is classified as an institution within the given context.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:10 p.m.