Triple
T31570556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 3 |
E805546
|
entity |
| Predicate | hasTypicalNumberOfMovements |
P32659
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Symphony No. 3, hasTypicalNumberOfMovements, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalNumberOfMovements Context triple: [Symphony No. 3, hasTypicalNumberOfMovements, 4]
-
A.
numberOfMovements
chosen
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
B.
typicalMovementCountPerQuintet
Indicates the usual number of movements contained within a five-part (quintet) grouping.
-
C.
typicalMovement
Indicates the usual or characteristic way in which an entity moves or is expected to move.
-
D.
movementCountDescription
Indicates the textual description or explanation associated with a specific count or number of movements.
-
E.
hasMovementStructure
Indicates that one entity possesses or is characterized by a particular structure or pattern of movement.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 30, 2026, 10:19 p.m.