Triple
T32360435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POWER4 microarchitecture |
E826847
|
entity |
| Predicate | simultaneousMultithreading |
P80122
|
FINISHED |
| Object | not supported |
—
|
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: not supported | Statement: [POWER4 microarchitecture, simultaneousMultithreading, not supported]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simultaneousMultithreading Context triple: [POWER4 microarchitecture, simultaneousMultithreading, not supported]
-
A.
supportsIntelHyperThreading
Indicates that one entity provides compatibility with or functionality for Intel Hyper-Threading technology in relation to another entity.
-
B.
supportsHyperThreading
chosen
Indicates that one entity provides or enables Hyper-Threading capability for another entity.
-
C.
totalHardwareThreads
Indicates the total number of hardware execution threads (e.g., logical CPU cores) available on a processing unit or system.
-
D.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
E.
supportsSymmetricMultiprocessing
Indicates that an entity provides or is compatible with symmetric multiprocessing, allowing multiple processors to share memory and workload equally.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be97650c8190b4facad50682b451 |
completed | May 3, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:49 a.m.