Triple
T25931920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Skylake microarchitecture |
E653456
|
entity |
| Predicate | pipelineWidth |
P159575
|
FINISHED |
| Object | 4-wide decode |
—
|
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: 4-wide decode | Statement: [Intel Skylake microarchitecture, pipelineWidth, 4-wide decode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineWidth Context triple: [Intel Skylake microarchitecture, pipelineWidth, 4-wide decode]
-
A.
pipelineLength
Indicates the total physical length of a pipeline connecting two or more points.
-
B.
pipelineDepth
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
C.
pathWidth
Indicates the measurement of how wide a given path or route is.
-
D.
poolWidth
Indicates the horizontal measurement or extent of a pool from one side to the opposite side.
-
E.
pipeline
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f604192b6c8190b86e151a628eafd8 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:37 a.m.