Triple
T32927050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRT |
E842299
|
entity |
| Predicate | hasMusicBrand |
P70718
|
FINISHED |
| Object | Studio Brussel |
—
|
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: Studio Brussel | Statement: [VRT, hasMusicBrand, Studio Brussel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicBrand Context triple: [VRT, hasMusicBrand, Studio Brussel]
-
A.
partOfMusicalBrand
chosen
Indicates that something belongs to, is a component of, or is officially associated with a particular musical brand.
-
B.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
C.
hasMusicUnit
Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
-
D.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
E.
hasPianoBrand
Indicates that an entity is associated with or uses a specific brand of piano.
- 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_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 1, 2026, 1:20 a.m.