Triple
T30364027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POWER8 |
E772365
|
entity |
| Predicate | hasL4Cache |
P169119
|
FINISHED |
| Object | off-chip L4 cache in memory buffer chips |
—
|
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: off-chip L4 cache in memory buffer chips | Statement: [POWER8, hasL4Cache, off-chip L4 cache in memory buffer chips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasL4Cache Context triple: [POWER8, hasL4Cache, off-chip L4 cache in memory buffer chips]
-
A.
hasL3Cache
Indicates that an entity possesses or is equipped with a level-3 (L3) cache in a hardware or system architecture context.
-
B.
L2CachePerCore
Indicates the size or configuration of the level-2 cache that is dedicated to each individual processing core.
-
C.
hasL2Cache
Indicates that an entity possesses a Level 2 (L2) cache as part of its hardware or system architecture.
-
D.
L2CacheCharacteristic
Indicates characteristics or properties associated with a level-2 (L2) cache in a computing system.
-
E.
L2CacheBusWidth
Indicates the width of the data bus used to connect to the Level 2 (L2) cache, typically measured in bits.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6827ecae8819092c15bbb1529dbad |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 7:58 p.m.