Triple

T94582
Position Surface form Disambiguated ID Type / Status
Subject Håkon Wium Lie E1900 entity
Predicate coCreated P1858 FINISHED
Object CSS1 specification 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: CSS1 specification | Statement: [Håkon Wium Lie, coCreated, CSS1 specification]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSS1 specification
Context triple: [Håkon Wium Lie, coCreated, CSS1 specification]
  • 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. W3C Recommendation
    A W3C Recommendation is a mature, stable web standard published by the World Wide Web Consortium to promote interoperability and best practices across the World Wide Web.
  • C. W3C Note
    A W3C Note is a non-normative publication by the World Wide Web Consortium used to share ideas, practices, or information that are not on the standards track.
  • D. WCAG
    WCAG (Web Content Accessibility Guidelines) is an internationally recognized set of guidelines that define how to make web content more accessible to people with disabilities.
  • E. 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.
  • 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_69a2567dd770819088eb77ffc6d2d1cf completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a262474440819093e075d5a009ee53 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.