Triple

T9667341
Position Surface form Disambiguated ID Type / Status
Subject PC Settings app E233738 entity
Predicate designedForInputMethod P9494 FINISHED
Object touch input LITERAL 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: touch input | Statement: [PC Settings app, designedForInputMethod, touch input]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedForInputMethod
Context triple: [PC Settings app, designedForInputMethod, touch input]
  • A. isDesignedFor chosen
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • B. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • C. designedFeature
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • D. designedForLanguageFamily
    Indicates that something (such as a tool, system, or resource) is specifically created or optimized to work with a particular language family rather than with individual languages in general.
  • E. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • F. None of above.

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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3a63948190be3f48f87bdbccf1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.