Triple
T32992365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacchus et Ariane Suite No. 1 |
E844119
|
entity |
| Predicate | numberOfSuitesInSet |
—
|
GENERATED |
| Object | 2 |
—
|
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: numberOfSuitesInSet Context triple: [Bacchus et Ariane Suite No. 1, numberOfSuitesInSet, 2]
-
A.
numberOfSuites
chosen
Indicates the total count of suites associated with or contained within a given entity.
-
B.
catalogueNumberOfSuite
Indicates the specific catalogue number assigned to a suite within a larger cataloging or classification system.
-
C.
movementCountInSuite
Indicates the number of movements contained within a given suite.
-
D.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
E.
numberOfTestCaps
Indicates the number of times an individual has appeared in test matches (test caps) for a team or organization.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:22 a.m.