Triple
T33626634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labanotation |
E861421
|
entity |
| Predicate | spaceRepresentation |
P91021
|
FINISHED |
| Object | left-to-right across the staff |
—
|
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: left-to-right across the staff | Statement: [Labanotation, spaceRepresentation, left-to-right across the staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceRepresentation Context triple: [Labanotation, spaceRepresentation, left-to-right across the staff]
-
A.
spatialRepresentation
chosen
Indicates that one entity serves as a spatial depiction, model, or encoding of the location, layout, or geometric properties of another entity.
-
B.
usesCoordinateRepresentation
Indicates that one entity expresses or handles another entity in terms of a specific coordinate-based representation.
-
C.
stateRepresentation
Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
-
D.
coneRepresents
Indicates that one entity serves as a representative or symbolic stand-in for another within a conceptual or informational context.
-
E.
regionRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific geographic or spatial region associated with 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: May 1, 2026, 1:41 a.m.