Triple
T25677469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan |
E643845
|
entity |
| Predicate | L2CacheSizeRange |
P76361
|
FINISHED |
| Object | 64 KB to 64 KB (on Duron packages) |
—
|
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: 64 KB to 64 KB (on Duron packages) | Statement: [Morgan, L2CacheSizeRange, 64 KB to 64 KB (on Duron packages)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: L2CacheSizeRange Context triple: [Morgan, L2CacheSizeRange, 64 KB to 64 KB (on Duron packages)]
-
A.
l2CacheSizeRange
chosen
Indicates the range of possible sizes for an entity’s level-2 (L2) cache.
-
B.
l2CacheTypicalSize
Indicates the typical or standard size of an entity’s level-2 (L2) cache in a computing system.
-
C.
L2CacheBusWidth
Indicates the width of the data bus used to connect to the Level 2 (L2) cache, typically measured in bits.
-
D.
l2CacheType
Indicates the specific configuration or design category of an entity’s level-2 (L2) cache in a memory hierarchy.
-
E.
l3CacheSize
Indicates the size or capacity of an entity’s level-3 (L3) cache memory.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb7700888190a773a390033bf320 |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 7:41 p.m.