Triple
T9346472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola 68040 |
E224901
|
entity |
| Predicate | cacheSize |
P86697
|
FINISHED |
| Object | 4 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: 4 KB instruction cache | Statement: [Motorola 68040, cacheSize, 4 KB instruction cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheSize Context triple: [Motorola 68040, cacheSize, 4 KB instruction cache]
-
A.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
B.
l1CacheSize
Indicates the size or capacity of an entity’s level-1 (L1) cache memory.
-
C.
maximumEntries
Indicates the relationship that specifies the highest number of entries that are allowed or supported in a given context.
-
D.
instructionCacheSize
chosen
Indicates the size or capacity of the instruction cache associated with a processor or computing component.
-
E.
caches
Indicates that one entity stores data or resources so they can be quickly retrieved for future use by another entity or process.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0e2ccc8190a68f1c96c0886660 |
completed | April 1, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.