Triple
T26007143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorton |
E646789
|
entity |
| Predicate | cacheLevel |
P160313
|
FINISHED |
| Object | L2 only (no 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: L2 only (no L3 cache) | Statement: [Thorton, cacheLevel, L2 only (no L3 cache)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheLevel Context triple: [Thorton, cacheLevel, L2 only (no L3 cache)]
-
A.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
B.
cacheDesign
Indicates that one entity designs, specifies, or defines the structure and behavior of a cache used by another entity or system.
-
C.
cacheFriendliness
Indicates how suitable or efficient something is for being stored and reused via a cache in order to reduce repeated computation or retrieval.
-
D.
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).
-
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. 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6057bd2708190bf400b153aca2f1b |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 9:01 a.m.