Triple
T23163843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonate a tre, Op. 4 |
E578659
|
entity |
| Predicate | numberOfPartsPerWork |
P97683
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Sonate a tre, Op. 4, numberOfPartsPerWork, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPartsPerWork Context triple: [Sonate a tre, Op. 4, numberOfPartsPerWork, three]
-
A.
hasNumberOfPartsInWholeWork
chosen
Indicates that an entity specifies how many component parts are contained within a complete work.
-
B.
numberOfCompletedParts
Indicates the count of parts within a whole that have been finished or fully completed.
-
C.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
D.
hasPartNumber
Indicates that one entity is assigned or associated with a specific part number used to identify it within a catalog, system, or inventory.
-
E.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f29be30819091e18551044a98f3 |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:02 p.m.