Triple

T22142961
Position Surface form Disambiguated ID Type / Status
Subject Apple A6X E547211 entity
Predicate predecessor P97 FINISHED
Object Apple A5X — NE NERFINISHED

How this triple was built (3 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 A5X | Statement: [Apple A6X, predecessor, Apple A5X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apple A5X
Context triple: [Apple A6X, predecessor, Apple A5X]
  • A. Apple A6X
    Apple A6X is a custom dual-core ARM-based system-on-a-chip designed by Apple for enhanced graphics and performance in select iPad models.
  • B. 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.
  • C. Apple A5
    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.
  • D. 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.
  • E. Apple A10 Fusion
    The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apple A5X
Target entity description: 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.
  • A. Apple A6X
    Apple A6X is a custom dual-core ARM-based system-on-a-chip designed by Apple for enhanced graphics and performance in select iPad models.
  • B. 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.
  • C. Apple A5
    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.
  • D. 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.
  • E. Apple A10 Fusion
    The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
  • F. None of above. chosen

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.