Triple
T21552458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A10 Fusion |
E531795
|
entity |
| Predicate | coreCountPerformance |
P11224
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Apple A10 Fusion, coreCountPerformance, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreCountPerformance Context triple: [Apple A10 Fusion, coreCountPerformance, 2]
-
A.
performanceCores
chosen
Indicates a relationship where certain cores within a processor are designated as high-performance cores optimized for speed and intensive tasks.
-
B.
coreCountCPU
Indicates the number of processing cores that a CPU has.
-
C.
bigCoreCount
Indicates that an entity (such as a processor or system) has a relatively large number of cores compared to a typical or baseline configuration.
-
D.
gpuCoreCount
Indicates the number of processing cores present in a GPU.
-
E.
smallCoreCount
Indicates that an entity has a relatively low number of processing cores compared to typical or expected configurations.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.