Triple
T17669660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlphaServer DS20 |
E440485
|
entity |
| Predicate | maxNumberOfProcessors |
P128485
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [AlphaServer DS20, maxNumberOfProcessors, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxNumberOfProcessors Context triple: [AlphaServer DS20, maxNumberOfProcessors, 2]
-
A.
maximumOperatingMach
Indicates the highest machine operating level, capacity, or intensity at which the related entity is allowed or designed to function.
-
B.
maxCoresPerCluster
Indicates the maximum number of processing cores that are allowed or allocated within a single cluster.
-
C.
maxSMPConfiguration
Indicates the configuration in which a system or component is set to use the maximum supported symmetric multiprocessing (SMP) resources or capabilities.
-
D.
cpusPerNode
Indicates the number of CPU units allocated or available on each individual node in a system or cluster.
-
E.
threadsPerCore
Indicates the number of hardware or logical execution threads that are assigned to run on each individual processor core.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f67f6188190a978c7c9f462064d |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 9:59 a.m.