Triple
T32738700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijaz scale |
E837160
|
entity |
| Predicate | typicalDegreeCount |
—
|
GENERATED |
| Object | 7 |
—
|
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: typicalDegreeCount Context triple: [Hijaz scale, typicalDegreeCount, 7]
-
A.
typicalDegreeLength
Indicates the usual or standard duration of time required to complete a particular degree program.
-
B.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
C.
typicalDegreeDistribution
Indicates that a degree distribution is characteristic or commonly observed for a given type of network or graph.
-
D.
hasNumberOfDegrees
Indicates the quantity of academic degrees that an entity possesses.
-
E.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:12 a.m.