Triple
T11631835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A13 Bionic |
E276416
|
entity |
| Predicate | efficiencyCoreName |
P11225
|
FINISHED |
| Object | Thunder |
—
|
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: Thunder | Statement: [Apple A13 Bionic, efficiencyCoreName, Thunder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficiencyCoreName Context triple: [Apple A13 Bionic, efficiencyCoreName, Thunder]
-
A.
efficiencyCores
chosen
Indicates that the related cores are optimized for energy-efficient, low-power processing rather than maximum performance.
-
B.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
C.
isMoreEfficientThan
Indicates that one entity performs a task or uses resources in a way that achieves the same or better outcome with less time, effort, or cost than another entity.
-
D.
moreEfficientThan
Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
-
E.
hasMaximumEfficiencyAt
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25aa9188190ab13d79139f37e7e |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.