Triple

T4203537
Position Surface form Disambiguated ID Type / Status
Subject CSS Animations Module E86126 entity
Predicate partOf P40 FINISHED
Object CSS3 E136788 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: CSS3 | Statement: [CSS Animations Module, partOf, CSS3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSS3
Context triple: [CSS Animations Module, partOf, CSS3]
  • A. 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.
  • B. CSS
    CSS is a professional society within the IEEE focused on the theory, design, and application of control systems in engineering and related fields.
  • C. CSS
    CSS (Cascading Style Sheets) is a style sheet language used to control the presentation and layout of web pages written in HTML or XML.
  • 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 Level 3 modules chosen
    CSS Level 3 modules are a collection of W3C specifications that extend and refine Cascading Style Sheets by defining advanced layout, styling, and presentation features for the web.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0380d470819091ffdb1161437266 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a173a78819094915f63c8411602 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:49 p.m.