Triple
T11966377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | III. Adagio molto e cantabile |
E284798
|
entity |
| Predicate | includesSectionInMeter |
P4875
|
FINISHED |
| Object | 12/8 |
—
|
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: 12/8 | Statement: [III. Adagio molto e cantabile, includesSectionInMeter, 12/8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSectionInMeter Context triple: [III. Adagio molto e cantabile, includesSectionInMeter, 12/8]
-
A.
hasMeter
chosen
Indicates that one entity possesses, uses, or is associated with a specific meter (a measuring device or metrical pattern).
-
B.
includesMeasure
Indicates that one entity contains, incorporates, or makes use of a particular measurement or quantitative value as part of its definition or specification.
-
C.
containsMeasure
Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
-
D.
includesConformanceSection
Indicates that an entity contains a dedicated section specifying how it conforms to certain standards, requirements, or guidelines.
-
E.
hasSectionIn
Indicates that one entity contains or includes another entity as a section or subdivision within it.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.