Triple
T29858331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATI Xenos |
E758248
|
entity |
| Predicate | textureUnits |
P19248
|
FINISHED |
| Object | 16 texture units |
—
|
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: 16 texture units | Statement: [ATI Xenos, textureUnits, 16 texture units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureUnits Context triple: [ATI Xenos, textureUnits, 16 texture units]
-
A.
shaderUnits
Indicates the relationship between a graphics processor and the number or configuration of its shader processing units used for rendering and computation.
-
B.
usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
-
C.
usesUniform
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
D.
textureType
Indicates the specific kind or category of surface quality or feel that characterizes an entity.
-
E.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6768345fc8190bdc72aa7af054375 |
completed | May 2, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:47 p.m.