Triple
T17537512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immortalis |
E427098
|
entity |
| Predicate | supportsRenderingTechnique |
P81690
|
FINISHED |
| Object | ray tracing |
—
|
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: ray tracing | Statement: [Immortalis, supportsRenderingTechnique, ray tracing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRenderingTechnique Context triple: [Immortalis, supportsRenderingTechnique, ray tracing]
-
A.
renderingTechnology
chosen
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
-
B.
supportsRenderingBackend
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
-
C.
supportsDisplayTechnology
Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
-
D.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
-
E.
supportsHardwareAcceleration
Indicates that one entity enables or provides hardware-based acceleration capabilities for another entity’s operations or processes.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536dbe908190ba7559f9561f05a2 |
completed | April 19, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.