Triple
T30879790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music (Apple application) |
E786578
|
entity |
| Predicate | supportsLibraryType |
P196140
|
FINISHED |
| Object | local music files |
—
|
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: local music files | Statement: [Music (Apple application), supportsLibraryType, local music files]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLibraryType Context triple: [Music (Apple application), supportsLibraryType, local music files]
-
A.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
B.
supportsLibraryFormat
chosen
Indicates that one entity is capable of handling, using, or being compatible with a specified library format associated with another entity.
-
C.
supportsPluginType
Indicates that one entity is capable of working with, handling, or being compatible with a specified type of plugin.
-
D.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
-
E.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:48 p.m.