Triple
T37515858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OGRE |
E932630
|
entity |
| Predicate | renderingParadigm |
P79636
|
FINISHED |
| Object | real-time rendering |
—
|
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: real-time rendering | Statement: [OGRE, renderingParadigm, real-time rendering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renderingParadigm Context triple: [OGRE, renderingParadigm, real-time rendering]
-
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.
renderingTechnology
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
-
C.
renderingArchitecture
Indicates the specific rendering system or framework used to generate visual output for a given entity or environment.
-
D.
renderingModel
Indicates the specific rendering engine or model used to generate the visual or graphical output for an entity.
-
E.
graphicsEngine
Indicates a relationship where a system, component, or application uses or is associated with a particular graphics engine to render or process visual content.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.