Triple

T3451289
Position Surface form Disambiguated ID Type / Status
Subject Vivaldi E72798 entity
Predicate programmingLanguage P1592 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: [Vivaldi, programmingLanguage, CSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSS
Context triple: [Vivaldi, programmingLanguage, 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. 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.
  • E. CSS Level 2
    CSS Level 2 is a W3C-defined style sheet language specification that extends the original CSS with more advanced layout, positioning, and media features for web documents.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e59178881909facfe90004c9d99 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:16 p.m.