Triple
T35959553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K computer |
E1039957
|
entity |
| Predicate | numberOfCPUs |
—
|
GENERATED |
| Object | 705,024 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCPUs Context triple: [K computer, numberOfCPUs, 705,024]
-
A.
totalCPUs
chosen
Indicates the total number of CPU units or cores allocated to or available for a given entity.
-
B.
coreCountCPU
Indicates the number of processing cores that a CPU has.
-
C.
smallCoreCount
Indicates that an entity has a relatively low number of processing cores compared to typical or expected configurations.
-
D.
cpusPerNode
Indicates the number of CPU units allocated or available on each individual node in a system or cluster.
-
E.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
- F. None of above.
Provenance (1 batch)
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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.