Triple

T94568
Position Surface form Disambiguated ID Type / Status
Subject Håkon Wium Lie E1900 entity
Predicate knownFor P22 FINISHED
Object Cascading Style Sheets E3741 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: Cascading Style Sheets | Statement: [Håkon Wium Lie, knownFor, Cascading Style Sheets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cascading Style Sheets
Context triple: [Håkon Wium Lie, knownFor, Cascading Style Sheets]
  • A. CSS chosen
    CSS (Cascading Style Sheets) is a style sheet language used to control the presentation and layout of web pages written in HTML or XML.
  • B. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • C. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • D. DOM
    The Document Object Model (DOM) is a platform- and language-neutral interface that represents structured documents like HTML and XML as a tree of objects, enabling programs and scripts to dynamically access and update their content and structure.
  • E. World Wide Web
    The World Wide Web is a global system of interlinked hypertext documents and resources accessed via the internet, enabling users worldwide to browse, share, and interact with information through web browsers.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd4777c81909ea9b9a6bd4f7ad5 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266ebb994819085fb84dd1d2d25ad completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.