Triple
T29975093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IUT (Institut universitaire de technologie) |
E761421
|
entity |
| Predicate | typicalDegreeLength |
—
|
GENERATED |
| Object | 2 to 3 years |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDegreeLength Context triple: [IUT (Institut universitaire de technologie), typicalDegreeLength, 2 to 3 years]
-
A.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
B.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
-
C.
hasDegreeLength
Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
-
D.
typicalDegreeLevels
Indicates the usual or commonly expected academic degree levels associated with a given entity or context.
-
E.
hasNumberOfDegrees
Indicates the quantity of academic degrees that an entity possesses.
- F. None of above. chosen
Provenance (1 batch)
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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:33 p.m.