Triple

T1789604
Position Surface form Disambiguated ID Type / Status
Subject Apple M1 Max E39464 entity
Predicate neuralEngineType P11229 FINISHED
Object Apple Neural Engine E38961 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: Apple Neural Engine | Statement: [Apple M1 Max, neuralEngineType, Apple Neural Engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Neural Engine
Context triple: [Apple M1 Max, neuralEngineType, Apple Neural Engine]
  • A. Apple Neural Engine chosen
    Apple Neural Engine is Apple’s dedicated on-chip hardware accelerator designed to efficiently perform machine learning and AI computations on its devices.
  • B. Apple A-series
    Apple A-series is a line of custom ARM-based system-on-chip processors designed by Apple to power its mobile devices with high performance and energy efficiency.
  • C. Apple A12Z Bionic
    Apple A12Z Bionic is an ARM-based system-on-a-chip designed by Apple, notable for powering the 2020 iPad Pro with enhanced CPU and GPU performance for demanding mobile and creative workloads.
  • D. Apple A14 Bionic
    Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
  • E. Apple A15 Bionic
    Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65111e5481909c22abb6ad966814 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a8a69c8190885bf06a06d3869f completed March 8, 2026, 4:54 p.m.
Created at: March 4, 2026, 7:32 p.m.