Triple
T26314589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorbonne Nouvelle University |
E661928
|
entity |
| Predicate | followsDegreeStructure |
P133404
|
FINISHED |
| Object | Bologna Process |
—
|
NE NERFINISHED |
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: Bologna Process | Statement: [Sorbonne Nouvelle University, followsDegreeStructure, Bologna Process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsDegreeStructure Context triple: [Sorbonne Nouvelle University, followsDegreeStructure, Bologna Process]
-
A.
followsStructure
chosen
Indicates that one entity adheres to, conforms with, or is organized according to the structural pattern defined by another entity.
-
B.
hasDegreeStructure
Indicates that an entity possesses a particular degree-based organizational or hierarchical structure.
-
C.
followsLevel
Indicates that one entity comes after or succeeds another in a defined sequence, stage, or hierarchical level.
-
D.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
-
E.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with another entity.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 26, 2026, 10:24 p.m.