Triple
T8993140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/VS1 |
E214837
|
entity |
| Predicate | supportsMultiprogramming |
P86208
|
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, supportsMultiprogramming, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultiprogramming Context triple: [OS/VS1, supportsMultiprogramming, true]
-
A.
supportsMultitaskingOfDOSPrograms
Indicates that a system or environment is capable of running and managing multiple DOS programs simultaneously.
-
B.
multitaskingSupport
Indicates that an entity is capable of performing multiple tasks or operations concurrently or in parallel.
-
C.
supportsSymmetricMultiprocessing
Indicates that an entity provides or is compatible with symmetric multiprocessing, allowing multiple processors to share memory and workload equally.
-
D.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
E.
supportsMultipleWindows
Indicates that the subject can handle or display more than one window or view simultaneously.
- 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.