Triple
T14365752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UltraSPARC T4 |
E356227
|
entity |
| Predicate | hasCache |
P87754
|
FINISHED |
| Object | L1 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: L1 instruction cache | Statement: [UltraSPARC T4, hasCache, L1 instruction cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCache Context triple: [UltraSPARC T4, hasCache, L1 instruction cache]
-
A.
hasOnChipCache
chosen
Indicates that one hardware component includes an integrated cache memory directly on the same chip.
-
B.
mayBeCached
Indicates that the result of an operation or data retrieval is allowed to be stored for potential reuse in a cache.
-
C.
hasStorage
Indicates that one entity provides or contains storage capacity or space for another entity or resource.
-
D.
hasL3Cache
Indicates that an entity possesses or is equipped with a level-3 (L3) cache in a hardware or system architecture context.
-
E.
supportsDynamicCaching
Indicates that an entity is capable of enabling or handling caching behavior that can change or be configured dynamically at runtime.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.