Triple

T10214107
Position Surface form Disambiguated ID Type / Status
Subject MetalKit E242398 entity
Predicate integratesWith P1075 FINISHED
Object Model I/O framework E759671 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: Model I/O framework | Statement: [MetalKit, integratesWith, Model I/O framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Model I/O framework
Context triple: [MetalKit, integratesWith, Model I/O framework]
  • A. Model I/O chosen
    Model I/O is an Apple framework for importing, exporting, and processing 3D model assets across the company’s graphics and game development tools.
  • B. Goya inference processor
    The Goya inference processor is Habana Labs’ specialized AI chip designed to accelerate deep learning inference workloads with high performance and efficiency.
  • C. Core ML
    Core ML is Apple’s machine learning framework that enables developers to integrate trained models efficiently into iOS, macOS, watchOS, and tvOS apps for on-device intelligence.
  • D. Platform Independent Model
    A Platform Independent Model is an abstract software design specification that defines system functionality and behavior without committing to any specific implementation technology or platform.
  • E. Network framework
    Network framework is Apple’s modern networking API for macOS and other Apple platforms, providing high-level, secure, and efficient support for TCP/IP, UDP, and advanced network features.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.