Triple
T29690003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | includesDigitalAudioWorkstations |
P68900
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Musix GNU+Linux (historical), includesDigitalAudioWorkstations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesDigitalAudioWorkstations Context triple: [Musix GNU+Linux (historical), includesDigitalAudioWorkstations, yes]
-
A.
featuresDrumMachine
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
-
B.
hasDrumProgrammingBy
Indicates that the drum programming for a work (such as a song or track) is created or performed by a specified entity.
-
C.
hasDrumKit
Indicates that one entity possesses or is equipped with a drum kit.
-
D.
hasDrumProgramming
Indicates that one entity is responsible for creating, sequencing, or programming the drum parts used by another entity (such as a track, album, or performance).
-
E.
hasDigitalSystem
chosen
Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: April 28, 2026, 7:16 p.m.