Triple
T17615997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navarra (Albéniz) |
E429083
|
entity |
| Predicate | usesMelodicElement |
P60129
|
FINISHED |
| Object | folk-like themes |
—
|
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: folk-like themes | Statement: [Navarra (Albéniz), usesMelodicElement, folk-like themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMelodicElement Context triple: [Navarra (Albéniz), usesMelodicElement, folk-like themes]
-
A.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
B.
usesMusicalElement
chosen
Indicates that one entity employs or incorporates a particular musical element (such as rhythm, melody, harmony, or timbre) in its composition, performance, or structure.
-
C.
hasMelodicOrchestration
Indicates that one entity provides or features the melodic orchestration for, or in association with, another entity.
-
D.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
E.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d32991c81909801161b0a416c94 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.