Triple
T22650219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solid Start |
E559070
|
entity |
| Predicate | supportsRenderingMode |
P79636
|
FINISHED |
| Object | SSR |
—
|
LITERAL 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: SSR | Statement: [Solid Start, supportsRenderingMode, SSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRenderingMode Context triple: [Solid Start, supportsRenderingMode, SSR]
-
A.
renderingMode
chosen
Indicates the specific way in which content or graphics are processed and displayed (e.g., style, technique, or pipeline used for rendering).
-
B.
supportsRenderingBackend
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
C.
supportsOffscreenRendering
Indicates that the subject is capable of performing rendering operations to an offscreen buffer or surface rather than directly to the visible display.
-
D.
supportsRasterization
Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
-
E.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
- F. None of above.
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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:05 p.m.