Triple
T37611847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermezzo, Op. 118 No. 1 |
E935803
|
entity |
| Predicate | numberOfPiecesInSet |
—
|
GENERATED |
| Object | 6 |
—
|
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: numberOfPiecesInSet Context triple: [Intermezzo, Op. 118 No. 1, numberOfPiecesInSet, 6]
-
A.
numberOfPieces
chosen
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
B.
pieceSet
Indicates that an entity is a member or component of a particular set or collection.
-
C.
hasApproximateNumberOfPieces
Indicates that an entity is associated with an estimated or non-exact count of pieces or components.
-
D.
numberOfChips
Indicates the quantity of chips associated with a given entity or situation.
-
E.
formOfIndividualPieces
Indicates that one entity represents the specific shapes, configurations, or structural forms taken by the individual pieces that compose another entity.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.