Triple
T26212510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naples |
E655525
|
entity |
| Predicate | threadCountRange |
P159948
|
FINISHED |
| Object | up to 64 threads per socket |
—
|
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 64 threads per socket | Statement: [Naples, threadCountRange, up to 64 threads per socket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threadCountRange Context triple: [Naples, threadCountRange, up to 64 threads per socket]
-
A.
threadCount
Indicates the number of concurrent threads associated with an entity, such as a process, task, or execution context.
-
B.
threadsPerCore
Indicates the number of hardware or logical execution threads that are assigned to run on each individual processor core.
-
C.
totalHardwareThreads
Indicates the total number of hardware execution threads (e.g., logical CPU cores) available on a processing unit or system.
-
D.
maxThreadCountPerCPU
chosen
Indicates the maximum number of threads that are allowed to run per individual CPU.
-
E.
parallelCountBy
Indicates performing a counting or aggregation operation over items in parallel, grouping results by a specified key or category.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1804548190ab0bba3376f28269 |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:53 p.m.