Triple
T8993173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/VS1 |
E214837
|
entity |
| Predicate | supportsBatchScheduler |
P86211
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [OS/VS1, supportsBatchScheduler, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBatchScheduler Context triple: [OS/VS1, supportsBatchScheduler, true]
-
A.
hasScheduler
Indicates that one entity is associated with, or managed by, a scheduling component or mechanism provided by another entity.
-
B.
supportsSchedulerTracing
Indicates that an entity enables or is compatible with tracing or monitoring of scheduler-related activities or events.
-
C.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
D.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
-
E.
supportsOrchestrator
Indicates that one entity provides the necessary capabilities or compatibility for another entity to function as an orchestrator within a coordinated system or workflow.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6876583081909d936dc3c3152587 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.