Triple
T11250648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | id Tech 1 |
E266312
|
entity |
| Predicate | renderingTechnique |
P79636
|
FINISHED |
| Object | binary space partitioning |
—
|
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: binary space partitioning | Statement: [id Tech 1, renderingTechnique, binary space partitioning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renderingTechnique Context triple: [id Tech 1, renderingTechnique, binary space partitioning]
-
A.
renderingTechnology
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
-
B.
renderingMode
chosen
Indicates the specific way in which content or graphics are processed and displayed (e.g., style, technique, or pipeline used for rendering).
-
C.
supportsHardwareRayTracing
Indicates that one entity provides or enables hardware-level ray tracing capabilities for another entity or within a given context.
-
D.
supportsMeshShading
Indicates that one entity provides or enables mesh shading functionality for another entity or within a given context.
-
E.
supportsRenderingBackend
Indicates that one entity is capable of using or working with a specified rendering backend to perform rendering operations.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e93212448190b46b3799b0bdfa0f |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.