Triple
T27749887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Smart Cache |
E702088
|
entity |
| Predicate | cacheLevel |
P160313
|
FINISHED |
| Object | L3 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: L3 cache | Statement: [Intel Smart Cache, cacheLevel, L3 cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheLevel Context triple: [Intel Smart Cache, cacheLevel, L3 cache]
-
A.
cacheLevel
chosen
Indicates the degree or tier of caching applied to data or requests within a system.
-
B.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
C.
cacheDesign
Indicates that one entity designs, specifies, or defines the structure and behavior of a cache used by another entity or system.
-
D.
cacheFriendliness
Indicates how suitable or efficient something is for being stored and reused via a cache in order to reduce repeated computation or retrieval.
-
E.
cacheWritePolicy
Indicates how data is written to and updated in a cache relative to the underlying storage (e.g., write-through, write-back, or write-around behavior).
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 4:19 p.m.