Triple
T32927048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRT |
E842299
|
entity |
| Predicate | hasChildrenBrand |
P108944
|
FINISHED |
| Object | Ketnet |
—
|
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: Ketnet | Statement: [VRT, hasChildrenBrand, Ketnet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildrenBrand Context triple: [VRT, hasChildrenBrand, Ketnet]
-
A.
hasNotableSubBrand
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
-
B.
hasParentBrandElement
chosen
Indicates that one brand-related element is hierarchically associated as a child or sub-component of another, which serves as its parent brand element.
-
C.
hasNumberOfBrands
Indicates the relationship where an entity is associated with a specific count of brands it possesses or encompasses.
-
D.
hasChildrenPrograms
Indicates that a program serves as a parent to one or more subordinate or derived programs.
-
E.
hasBranches
Indicates that an entity extends into multiple subordinate parts or offshoots, like limbs, divisions, or sections stemming from a main source.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 1, 2026, 1:20 a.m.