Triple

T21983170
Position Surface form Disambiguated ID Type / Status
Subject WebBrowser E542891 entity
Predicate rendersFormat P37806 FINISHED
Object SVG 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: SVG | Statement: [WebBrowser, rendersFormat, SVG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVG
Context triple: [WebBrowser, rendersFormat, 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. SVG Air
    SVG Air is a regional airline based in Saint Vincent and the Grenadines that operates scheduled and charter flights throughout the Eastern Caribbean.
  • D. 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.
  • E. Inkscape
    Inkscape is a free, open-source vector graphics editor known for creating and editing scalable illustrations, logos, and diagrams.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270629588190aea32fbe630e4cba completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.