Triple
T29690009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | supportsRealTimeKernelOptions |
P207169
|
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), supportsRealTimeKernelOptions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRealTimeKernelOptions Context triple: [Musix GNU+Linux (historical), supportsRealTimeKernelOptions, yes]
-
A.
supportsRealTime
Indicates that one entity provides or enables real-time operation, processing, or interaction for another entity or process.
-
B.
supportsRealTimeMonitoring
Indicates that an entity provides the capability to observe and track relevant data or events continuously as they occur in real time.
-
C.
supportsHardRealTime
Indicates that one entity provides guarantees sufficient for hard real-time constraints, ensuring operations complete within strict, deterministic time bounds for another entity.
-
D.
supportsKernelSpaceTracing
Indicates that an entity provides functionality to perform tracing operations within the operating system’s kernel space.
-
E.
supportsRuntimeConfiguration
Indicates that one entity allows its behavior or settings to be adjusted dynamically while the system is running.
- F. None of above. chosen
Provenance (4 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 28, 2026, 7:16 p.m.