Triple
T26007257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Athlon II (low-end models) |
E646792
|
entity |
| Predicate | L3Cache |
P109514
|
FINISHED |
| Object | no L3 cache |
—
|
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: no L3 cache | Statement: [AMD Athlon II (low-end models), L3Cache, no L3 cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: L3Cache Context triple: [AMD Athlon II (low-end models), L3Cache, no L3 cache]
-
A.
L2Cache
Indicates that one entity functions as a level-2 cache for another, storing intermediate data or results to speed up repeated access or computation.
-
B.
l3CacheSize
Indicates the size or capacity of an entity’s level-3 (L3) cache memory.
-
C.
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.
-
D.
hasL3Cache
chosen
Indicates that an entity possesses or is equipped with a level-3 (L3) cache in a hardware or system architecture context.
-
E.
L2CacheCharacteristic
Indicates characteristics or properties associated with a level-2 (L2) cache in a computing system.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6057bd2708190bf400b153aca2f1b |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:01 a.m.