Triple
T32992365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacchus et Ariane Suite No. 1 |
E844119
|
entity |
| Predicate | numberOfSuitesInSet |
P13078
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Bacchus et Ariane Suite No. 1, numberOfSuitesInSet, 2]
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 (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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0227ce59a081909fe1ba1181d86b4d |
completed | May 11, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_6a02273989208190beb948b8c7bdaee3 |
completed | May 11, 2026, 7 p.m. |
Created at: May 1, 2026, 1:22 a.m.