Triple
T10329174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Web Platform |
E242834
|
entity |
| Predicate | hasComponent |
P35
|
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: [Open Web Platform, hasComponent, SVG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SVG Context triple: [Open Web Platform, hasComponent, 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.