Triple
T35112880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWV 848 |
E1013343
|
entity |
| Predicate | numberOfVoicesInFugue |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVoicesInFugue Context triple: [BWV 848, numberOfVoicesInFugue, 3]
-
A.
fugueVoices
chosen
Indicates the number or specific parts (voices) that participate in the texture of a fugue.
-
B.
numberOfFugues
Indicates the quantity of fugues associated with a given entity or context.
-
C.
typicalNumberOfVoices
Indicates the usual or characteristic number of distinct voices or parts involved in performing or realizing something (such as a musical work or texture).
-
D.
fugueLength
Indicates the duration or extent of a fugue, typically measured in time or number of measures.
-
E.
numberOfChoirs
Indicates the quantity of choirs associated with a given entity or context.
- F. None of above.
Provenance (1 batch)
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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.