Triple
T7032641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnell |
E163305
|
entity |
| Predicate | cacheWritePolicy |
P74572
|
FINISHED |
| Object | write-back L1 data 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: write-back L1 data cache | Statement: [Bonnell, cacheWritePolicy, write-back L1 data cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheWritePolicy Context triple: [Bonnell, cacheWritePolicy, write-back L1 data cache]
-
A.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
B.
detentionPolicy
Indicates the rules or conditions under which individuals may be held in custody or confinement.
-
C.
preservationPolicy
Indicates the rules or strategy governing how something is maintained, protected, and retained over time.
-
D.
caches
Indicates that one entity stores data or resources so they can be quickly retrieved for future use by another entity or process.
-
E.
archivePolicy
Indicates the rules or conditions governing how items are stored, retained, and managed in an archive.
- F. None of above. chosen
Provenance (4 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.