Triple
T30405082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synergistic Processing Element |
E773455
|
entity |
| Predicate | numberPerCellProcessor |
P128485
|
FINISHED |
| Object | up to 8 SPEs (in consumer Cell) |
—
|
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: up to 8 SPEs (in consumer Cell) | Statement: [Synergistic Processing Element, numberPerCellProcessor, up to 8 SPEs (in consumer Cell)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberPerCellProcessor Context triple: [Synergistic Processing Element, numberPerCellProcessor, up to 8 SPEs (in consumer Cell)]
-
A.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
B.
numberOfCellBlocks
Indicates the total count of distinct cell blocks associated with or contained within a given entity.
-
C.
maxNumberOfProcessors
chosen
Indicates the maximum number of processors that are allowed or supported in a given context or configuration.
-
D.
coprocessorNumber
Indicates the identifying number assigned to a specific coprocessor associated with a processor or system.
-
E.
numberOfPartitions
Indicates the total count of distinct partitions into which a given set, resource, or structure is divided.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 29, 2026, 8:03 p.m.