Triple

T5838705
Position Surface form Disambiguated ID Type / Status
Subject Pylons Project E129538 entity
Predicate maintains P1580 FINISHED
Object WebTest E552009 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: WebTest | Statement: [Pylons Project, maintains, WebTest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WebTest
Context triple: [Pylons Project, maintains, WebTest]
  • A. WebTest chosen
    WebTest is a Python library for testing WSGI-based web applications by simulating HTTP requests and inspecting responses without running a real server.
  • B. Supertest
    Supertest is a Node.js library for testing HTTP servers by providing a high-level abstraction for making and asserting HTTP requests, commonly used in integration and end-to-end tests.
  • C. WebBrowser
    A WebBrowser is a software application used to access, render, and interact with content and applications on the World Wide Web.
  • D. Cascading Style Sheets test suites
    Cascading Style Sheets test suites are standardized collections of tests designed to verify and ensure consistent, interoperable implementation of CSS features across different web browsers and user agents.
  • E. Arena web browser
    Arena web browser was an early experimental web browser in the 1990s that served as a testbed for emerging World Wide Web standards such as HTML and CSS.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0f371008190b11cd4da8a55dbb9 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:54 p.m.