Triple
T14229220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian universities |
E352706
|
entity |
| Predicate | typicalDegreeStructure |
P111631
|
FINISHED |
| Object | 3+2 bachelor-master model |
—
|
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+2 bachelor-master model | Statement: [Belgian universities, typicalDegreeStructure, 3+2 bachelor-master model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDegreeStructure Context triple: [Belgian universities, typicalDegreeStructure, 3+2 bachelor-master model]
-
A.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
B.
hasDegreeStructure
chosen
Indicates that an entity possesses a particular degree-based organizational or hierarchical structure.
-
C.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
-
D.
typicalDegreeLevels
Indicates the usual or commonly expected academic degree levels associated with a given entity or context.
-
E.
typicalDegreeDistribution
Indicates that a degree distribution is characteristic or commonly observed for a given type of network or graph.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.