Triple
T13018144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KU Leuven Kulak campus |
E322605
|
entity |
| Predicate | hasStudentEnvironment |
P13810
|
FINISHED |
| Object | close-knit community |
—
|
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: close-knit community | Statement: [KU Leuven Kulak campus, hasStudentEnvironment, close-knit community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentEnvironment Context triple: [KU Leuven Kulak campus, hasStudentEnvironment, close-knit community]
-
A.
hasTrainingEnvironment
Indicates that an entity is associated with, or operates within, a specific environment or setting used for training or practice.
-
B.
hasEnvironmentType
chosen
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasStudentCells
Indicates that an entity contains, includes, or is associated with one or more cells designated as student cells.
-
D.
hasStudentMobility
Indicates that there is a relationship in which students move or participate across different institutions, locations, or programs (e.g., through exchanges, study abroad, or similar mobility activities).
-
E.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.