Triple
T37611847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermezzo, Op. 118 No. 1 |
E935803
|
entity |
| Predicate | numberOfPiecesInSet |
P43231
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Intermezzo, Op. 118 No. 1, numberOfPiecesInSet, 6]
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 (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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.