Triple

T10513058
Position Surface form Disambiguated ID Type / Status
Subject Canvas 2D API E247962 entity
Predicate competesWith P1375 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: [Canvas 2D API, competesWith, SVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVG
Context triple: [Canvas 2D API, competesWith, 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. SVG
    SVG is the three-letter IATA airport code assigned to Stavanger Airport, Sola in Norway.
  • C. Vector Graphic
    Vector Graphic was an early microcomputer company known for producing S-100 bus–based personal computers during the late 1970s and early 1980s.
  • D. Inkscape
    Inkscape is a free, open-source vector graphics editor known for creating and editing scalable illustrations, logos, and diagrams.
  • E. StarDraw
    StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90de6e9508190a1cdf348ec542dd5 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:27 p.m.