Triple
T12048464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A17 Pro |
E286847
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Apple A18 Pro |
E56061
|
NE 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: Apple A18 Pro | Statement: [Apple A17 Pro, successor, Apple A18 Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple A18 Pro Context triple: [Apple A17 Pro, successor, Apple A18 Pro]
-
A.
Apple A18
chosen
The Apple A18 is a next-generation Apple-designed ARM-based system-on-a-chip expected to power upcoming iPhone models with improved performance and efficiency.
-
B.
Apple A17 Pro
Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
-
C.
Apple A16 Bionic
Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
-
D.
Apple A14 Bionic
Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
-
E.
A13 Bionic
A13 Bionic is Apple's 64‑bit ARM-based system-on-a-chip introduced in 2019, powering devices like the iPhone 11 series with improved performance and energy efficiency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dc459308190bc88cb550e1d5b86 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.