Triple

T17569526
Position Surface form Disambiguated ID Type / Status
Subject Less E427898 entity
Predicate extends P1244 FINISHED
Object CSS 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: CSS | Statement: [Less, extends, CSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSS
Context triple: [Less, extends, CSS]
  • A. CSS
    CSS is a professional society within the IEEE focused on the theory, design, and application of control systems in engineering and related fields.
  • B. 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.
  • C. 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.
  • 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 the commonly used abbreviation for Charlestown Secondary School, an educational institution likely serving secondary-level students in Charlestown.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592fe8408190bd8fed1920ab3601 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.