Triple
T10942663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Macintosh 6100 |
E258511
|
entity |
| Predicate | l2CacheType |
P96765
|
FINISHED |
| Object | external |
—
|
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: external | Statement: [Power Macintosh 6100, l2CacheType, external]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: l2CacheType Context triple: [Power Macintosh 6100, l2CacheType, external]
-
A.
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.
-
B.
l2CacheSizeRange
Indicates the range of possible sizes for an entity’s level-2 (L2) cache.
-
C.
l2CacheBigCores
Indicates that the relationship or action involves the L2 cache associated with the system’s big (high-performance) cores.
-
D.
l2CacheLittleCores
Indicates that there is an L2 cache associated specifically with the system’s little (low-power) CPU cores.
-
E.
L1Cache
Indicates a relationship where data or instructions are stored or accessed in the first-level (closest, fastest) cache memory associated with a processor core.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.