Triple
T14268290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UltraSPARC T2 |
E353708
|
entity |
| Predicate | supportsSimultaneousMultithreading |
P75685
|
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: [UltraSPARC T2, supportsSimultaneousMultithreading, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSimultaneousMultithreading Context triple: [UltraSPARC T2, supportsSimultaneousMultithreading, yes]
-
A.
supportsMultithreading
chosen
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
B.
supportsMultisampling
Indicates that an entity provides or enables multisampling functionality, typically for improved rendering quality.
-
C.
multitaskingSupport
Indicates that an entity is capable of performing multiple tasks or operations concurrently or in parallel.
-
D.
supportsSymmetricMultiprocessing
Indicates that an entity provides or is compatible with symmetric multiprocessing, allowing multiple processors to share memory and workload equally.
-
E.
supportsHardwareRayTracing
Indicates that one entity provides or enables hardware-level ray tracing capabilities for another entity or within a given context.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.