Triple

T4832057
Position Surface form Disambiguated ID Type / Status
Subject MediaWiki E107967 entity
Predicate supportsMarkup P203 FINISHED
Object CSS 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: CSS | Statement: [MediaWiki, supportsMarkup, CSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSS
Context triple: [MediaWiki, supportsMarkup, CSS]
  • 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. CSS
    CSS is the commonly used abbreviation for the South American Health Council, a regional body focused on coordinating public health policies among South American nations.
  • C. CSS
    CSS is a professional society within the IEEE focused on the theory, design, and application of control systems in engineering and related fields.
  • D. CSS
    CSS is a U.S. cryptologic organization that partners with the National Security Agency to coordinate signals intelligence and information assurance activities across the armed forces.
  • E. Cascading Style Sheets: Designing for the Web
    "Cascading Style Sheets: Designing for the Web" is a foundational book that explains the principles, syntax, and practical use of CSS for creating well-structured, visually consistent web pages.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7162427c81908a67a07545f698ae completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cb748d081908fc32b2cea994b35 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.