Triple
T20369123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish university of applied sciences system |
E496997
|
entity |
| Predicate | typicalBachelorDuration |
P49391
|
FINISHED |
| Object | 3.5–4.5 years |
—
|
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: 3.5–4.5 years | Statement: [Finnish university of applied sciences system, typicalBachelorDuration, 3.5–4.5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBachelorDuration Context triple: [Finnish university of applied sciences system, typicalBachelorDuration, 3.5–4.5 years]
-
A.
primaryDurationOfStudy
chosen
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
B.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
C.
typicalClassYear
Indicates the usual or expected academic year level associated with an entity, such as when a course is typically taken or a program is normally completed.
-
D.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
-
E.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787454a88190ae87d9b3c9b5ad27 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:26 a.m.