Triple

T5015727
Position Surface form Disambiguated ID Type / Status
Subject Apple September 2016 event E112736 entity
Predicate introducedFeature P513 FINISHED
Object 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.
E486623 NE FINISHED

How this triple was built (4 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: A10 Fusion chip | Statement: [Apple September 2016 event, introducedFeature, A10 Fusion chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A10 Fusion chip
Context triple: [Apple September 2016 event, introducedFeature, A10 Fusion chip]
  • A. 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.
  • B. Nvidia Maxwell GPU
    The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
  • C. Nvidia Tegra 3
    Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
  • D. Tensor G3 chip
    The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
  • E. Snapdragon system-on-chip
    The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A10 Fusion chip
Triple: [Apple September 2016 event, introducedFeature, A10 Fusion chip]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A10 Fusion chip
Target entity description: 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.
  • A. 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.
  • B. Nvidia Maxwell GPU
    The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
  • C. Nvidia Tegra 3
    Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
  • D. Tensor G3 chip
    The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
  • E. Snapdragon system-on-chip
    The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
  • F. None of above. chosen

Provenance (5 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732f4c5c8190b90f8e4daab458ee completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927500ec8190b4d87ef86469777d completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be942dac9c8190a5861ca0aaa44c90 completed March 21, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69be94a7e15481908f17feafb593b97b completed March 21, 2026, 12:52 p.m.
Created at: March 20, 2026, 1:35 p.m.