Triple
T4269744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immortalis-G715s MC10 |
E96911
|
entity |
| Predicate | rayTracingSupport |
P41280
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Immortalis-G715s MC10, rayTracingSupport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayTracingSupport Context triple: [Immortalis-G715s MC10, rayTracingSupport, yes]
-
A.
supportsHardwareRayTracing
chosen
Indicates that one entity provides or enables hardware-level ray tracing capabilities for another entity or within a given context.
-
B.
hasRaySystem
Indicates that an entity possesses a radial arrangement or system of rays extending from a central point.
-
C.
supports3DAcceleration
Indicates that one entity provides or enables hardware- or software-based 3D graphics acceleration for another entity.
-
D.
hardwareAcceleration
Indicates that an operation or process is executed using specialized hardware resources (such as GPU or dedicated accelerators) rather than relying solely on general-purpose CPU computation.
-
E.
supportsMeshShading
Indicates that one entity provides or enables mesh shading functionality for another entity or within a given context.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffa30c08190913622ffec47d33d |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.