Triple

T22443962
Position Surface form Disambiguated ID Type / Status
Subject WebdriverIO E554819 entity
Predicate hasCLICommand P79901 FINISHED
Object wdio NE NERFINISHED

How this triple was built (3 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: wdio | Statement: [WebdriverIO, hasCLICommand, wdio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: wdio
Context triple: [WebdriverIO, hasCLICommand, wdio]
  • A. WebdriverIO chosen
    WebdriverIO is a popular open-source JavaScript-based test automation framework for browser and mobile applications, built on WebDriver and maintained under the OpenJS Foundation.
  • B. Ranorex Studio
    Ranorex Studio is a commercial test automation tool for desktop, web, and mobile applications, known for its GUI-based test creation and support for multiple technologies and platforms.
  • C. ChromeDriver
    ChromeDriver is a WebDriver-compatible tool that automates and controls the Google Chrome browser for running browser-based tests and scripts.
  • D. Laravel Dusk
    Laravel Dusk is a browser automation and end-to-end testing tool for Laravel applications that provides an expressive API for writing and running UI tests.
  • E. WebTest
    WebTest is a Python library for testing WSGI-based web applications by simulating HTTP requests and inspecting responses without running a real server.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCLICommand
Context triple: [WebdriverIO, hasCLICommand, wdio]
  • A. hasCommandLineInterface chosen
    Indicates that an entity provides or supports interaction through a command-line interface (CLI).
  • B. hasCommand
    Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
  • C. containsCommand
    Indicates that one entity includes or embeds a command directed at or executable by another entity.
  • D. hasCommandSystem
    Indicates that one entity possesses, uses, or is associated with a particular command or control system.
  • E. hasComponentCommand
    Indicates that an entity includes or controls another entity as a subordinate or component command within an organizational or command structure.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae517208190924a7968723f55ef completed April 29, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.