Triple

T21199661
Position Surface form Disambiguated ID Type / Status
Subject TVML E522418 entity
Predicate relatedTechnology P1485 FINISHED
Object TVMLKit JS E121535 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: TVMLKit JS | Statement: [TVML, relatedTechnology, TVMLKit JS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TVMLKit JS
Context triple: [TVML, relatedTechnology, TVMLKit JS]
  • A. TVMLKit chosen
    TVMLKit is an Apple framework that lets developers build tvOS apps using TVML templates, JavaScript, and web-like technologies instead of fully native UI code.
  • B. TVML
    TVML is Apple’s XML-based markup language used to define the user interface and layout of tvOS apps built with TVMLKit.
  • C. WML
    WML is the National Rail station code for Wilmslow railway station in Cheshire, England.
  • D. Kirigami UI framework
    Kirigami UI framework is a cross-platform user interface toolkit from the KDE community designed to create responsive, convergent applications that work seamlessly across desktop and mobile devices.
  • E. MTKView
    MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986e060188190b00ff5cc044c8208 completed May 17, 2026, 9:14 a.m.
Created at: April 16, 2026, 3:17 p.m.