Triple
T25425895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket 7 |
E637113
|
entity |
| Predicate | supportsL1Cache |
P177086
|
FINISHED |
| Object | on CPU |
—
|
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: on CPU | Statement: [Socket 7, supportsL1Cache, on CPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsL1Cache Context triple: [Socket 7, supportsL1Cache, on CPU]
-
A.
L1Cache
Indicates a relationship where data or instructions are stored or accessed in the first-level (closest, fastest) cache memory associated with a processor core.
-
B.
hasL2Cache
Indicates that an entity possesses a Level 2 (L2) cache as part of its hardware or system architecture.
-
C.
hasL3Cache
Indicates that an entity possesses or is equipped with a level-3 (L3) cache in a hardware or system architecture context.
-
D.
L1CacheType
Indicates the specific configuration or design category of a system’s Level 1 cache in relation to how it stores and accesses data or instructions.
-
E.
hasL4Cache
Indicates that an entity possesses or is equipped with a level-4 (L4) cache in its memory hierarchy.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 21, 2026, 1:57 p.m.