Triple
T28582845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIMD within a register (SWAR) |
E723422
|
entity |
| Predicate | canBeEmulatedOn |
P31513
|
FINISHED |
| Object | scalar processors |
—
|
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: scalar processors | Statement: [SIMD within a register (SWAR), canBeEmulatedOn, scalar processors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeEmulatedOn Context triple: [SIMD within a register (SWAR), canBeEmulatedOn, scalar processors]
-
A.
hasSimulator
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
-
B.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
C.
canBeDisplayedOn
Indicates that something is capable of being shown or rendered on a particular medium, device, or interface.
-
D.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
E.
emulates
chosen
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 28, 2026, 4:16 a.m.