Triple
T20473408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEC VR4300 |
E502251
|
entity |
| Predicate | primaryCacheSize |
P86697
|
FINISHED |
| Object | 16 KB instruction 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: 16 KB instruction cache | Statement: [NEC VR4300, primaryCacheSize, 16 KB instruction cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCacheSize Context triple: [NEC VR4300, primaryCacheSize, 16 KB instruction cache]
-
A.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
B.
l1CacheSize
Indicates the size or capacity of an entity’s level-1 (L1) cache memory.
-
C.
l2CacheTypicalSize
Indicates the typical or standard size of an entity’s level-2 (L2) cache in a computing system.
-
D.
instructionCacheSize
chosen
Indicates the size or capacity of the instruction cache associated with a processor or computing component.
-
E.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.