Triple

T21741778
Position Surface form Disambiguated ID Type / Status
Subject Apple A10X Fusion E536675 entity
Predicate marketedAs P1395 FINISHED
Object A10X Fusion — 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: A10X Fusion | Statement: [Apple A10X Fusion, marketedAs, A10X Fusion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A10X Fusion
Context triple: [Apple A10X Fusion, marketedAs, A10X Fusion]
  • A. A10 Fusion chip
    The A10 Fusion chip is a 64‑bit ARM-based system-on-a-chip designed by Apple that significantly boosts performance and power efficiency for devices like the iPhone 7 and 7 Plus.
  • B. Nvidia Tegra X2
    Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
  • C. Nvidia Tegra X1
    The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
  • D. Arria 10
    Arria 10 is an Intel (formerly Altera) mid-range FPGA family known for its high performance, power efficiency, and suitability for signal processing, networking, and embedded computing applications.
  • E. AMD Instinct MI100
    AMD Instinct MI100 is a high-performance data center GPU accelerator from AMD designed primarily for high-performance computing (HPC) and AI workloads.
  • 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: A10X Fusion
Target entity description: A10X Fusion is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for use in iPad Pro and Apple TV 4K devices, offering enhanced CPU and GPU capabilities over its predecessor.
  • A. A10 Fusion chip
    The A10 Fusion chip is a 64‑bit ARM-based system-on-a-chip designed by Apple that significantly boosts performance and power efficiency for devices like the iPhone 7 and 7 Plus.
  • B. Nvidia Tegra X2
    Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
  • C. Nvidia Tegra X1
    The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
  • D. Arria 10
    Arria 10 is an Intel (formerly Altera) mid-range FPGA family known for its high performance, power efficiency, and suitability for signal processing, networking, and embedded computing applications.
  • E. AMD Instinct MI100
    AMD Instinct MI100 is a high-performance data center GPU accelerator from AMD designed primarily for high-performance computing (HPC) and AI workloads.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a7322348190b2145fa922c480ed completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.