Triple
T22143067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A4 |
E547213
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Apple A5 |
—
|
NE NERFINISHED |
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 A5 | Statement: [Apple A4, successor, Apple A5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple A5 Context triple: [Apple A4, successor, Apple A5]
-
A.
Apple A5
chosen
The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
-
B.
Apple A4
Apple A4 is Apple’s first in-house designed system-on-a-chip, introduced in 2010 to power devices like the iPhone 4 and original iPad.
-
C.
Apple A6
The Apple A6 is a custom-designed 32-bit system-on-a-chip used in devices like the iPhone 5 and 5C, notable for being Apple’s first CPU core designed entirely in-house.
-
D.
Apple A5X
Apple A5X is a dual-core ARM-based system-on-a-chip with a quad-core GPU designed by Apple for improved graphics performance in devices like the third-generation iPad.
-
E.
Apple A7
The Apple A7 is a 64-bit ARM-based system-on-a-chip designed by Apple and introduced in 2013, powering devices like the iPhone 5s and iPad Air with significantly improved performance and efficiency over its predecessors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bf78108190b50d937917258693 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.