Triple
T5727271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Louvain (campus in Walloon Brabant) |
E126294
|
entity |
| Predicate | hasStudentLifeFeature |
P29527
|
FINISHED |
| Object | student associations |
—
|
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: student associations | Statement: [University of Louvain (campus in Walloon Brabant), hasStudentLifeFeature, student associations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentLifeFeature Context triple: [University of Louvain (campus in Walloon Brabant), hasStudentLifeFeature, student associations]
-
A.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
B.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
C.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
D.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
E.
campusLife
chosen
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.