Triple
T12048459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A17 Pro |
E286847
|
entity |
| Predicate | supportsAlwaysOnProcessorFunctions |
P102953
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Apple A17 Pro, supportsAlwaysOnProcessorFunctions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAlwaysOnProcessorFunctions Context triple: [Apple A17 Pro, supportsAlwaysOnProcessorFunctions, true]
-
A.
usesProcessorSeries
Indicates that one entity operates using, or is built to run on, a specific series or family of processors.
-
B.
builtInProcessor
Indicates that one entity serves as an internal or integrated processing unit within another entity.
-
C.
supportsProcessorFamily
Indicates that one entity (such as hardware or software) is compatible with and can operate using a specified processor family.
-
D.
hasBuiltInProcessor
Indicates that one entity inherently contains an integrated processor as a built-in component rather than relying on an external processing unit.
-
E.
supportsBranchPrediction
Indicates that one entity provides functionality or mechanisms that enable or enhance branch prediction for another entity.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.