Triple

T9027690
Position Surface form Disambiguated ID Type / Status
Subject Apple R1 E216087 entity
Predicate marketedAs P1395 FINISHED
Object R1 chip E216087 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: R1 chip | Statement: [Apple R1, marketedAs, R1 chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R1 chip
Context triple: [Apple R1, marketedAs, R1 chip]
  • A. 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.
  • B. Habana Gaudi processor
    The Habana Gaudi processor is a specialized AI training accelerator designed by Habana Labs (an Intel company) to deliver high-performance, scalable deep learning computation in data centers.
  • C. Apple R1 chosen
    Apple R1 is a custom Apple coprocessor designed to handle real-time sensor processing and spatial computing tasks in the Apple Vision Pro headset.
  • D. 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.
  • E. RISC I
    RISC I is an early experimental reduced instruction set computer (RISC) processor design developed at UC Berkeley that helped pioneer and popularize the RISC architecture approach.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7fcb308190af90d6be8700e498 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.