Triple
T25425893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket 7 |
E637113
|
entity |
| Predicate | supportsL2Cache |
P145191
|
FINISHED |
| Object | on motherboard |
—
|
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: on motherboard | Statement: [Socket 7, supportsL2Cache, on motherboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsL2Cache Context triple: [Socket 7, supportsL2Cache, on motherboard]
-
A.
hasL2Cache
chosen
Indicates that an entity possesses a Level 2 (L2) cache as part of its hardware or system architecture.
-
B.
L2Cache
Indicates that one entity functions as a level-2 cache for another, storing intermediate data or results to speed up repeated access or computation.
-
C.
l2CacheType
Indicates the specific configuration or design category of an entity’s level-2 (L2) cache in a memory hierarchy.
-
D.
L2CachePerCore
Indicates the size or configuration of the level-2 cache that is dedicated to each individual processing core.
-
E.
L2CacheCharacteristic
Indicates characteristics or properties associated with a level-2 (L2) cache in a computing system.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 21, 2026, 1:57 p.m.