Triple

T6034404
Position Surface form Disambiguated ID Type / Status
Subject EdgeHTML E134381 entity
Predicate supportsStandard P1587 FINISHED
Object SVG E3757 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: SVG | Statement: [EdgeHTML, supportsStandard, SVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVG
Context triple: [EdgeHTML, supportsStandard, SVG]
  • A. SVG chosen
    SVG (Scalable Vector Graphics) is an XML-based vector image format for two-dimensional graphics that supports interactivity and animation, widely used for web graphics due to its scalability and resolution independence.
  • B. StarDraw
    StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
  • C. Vector Multimedia Extension
    Vector Multimedia Extension is a set of SIMD (single instruction, multiple data) instructions for PowerPC processors designed to accelerate multimedia, signal processing, and vector computations.
  • D. PGF
    PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
  • E. SmartArt graphics
    SmartArt graphics are a collection of pre-designed visual diagrams in Microsoft Office that help users easily illustrate information, processes, and relationships in a polished, professional format.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cf60d00819084bc8405595f7989 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.