Triple

T22979911
Position Surface form Disambiguated ID Type / Status
Subject CSS Basic User Interface Module Level 3 E571429 entity
Predicate partOf P40 FINISHED
Object Cascading Style Sheets NE NERFINISHED

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: [CSS Basic User Interface Module Level 3, partOf, Cascading Style Sheets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cascading Style Sheets
Context triple: [CSS Basic User Interface Module Level 3, partOf, Cascading Style Sheets]
  • A. Cascading Style Sheets (CSS) chosen
    Cascading Style Sheets (CSS) is a style sheet language used to control the presentation and layout of HTML and XML documents on the web.
  • 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. CSS
    CSS is Pakistan’s highly competitive federal civil service examination system used to recruit officers for various government ministries and departments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18294c4c8819083ef85d9cb736613 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.