Triple
T29949101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATI Flipper |
E760720
|
entity |
| Predicate | maxTextureSize |
P38745
|
FINISHED |
| Object | 1024x1024 |
—
|
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: 1024x1024 | Statement: [ATI Flipper, maxTextureSize, 1024x1024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxTextureSize Context triple: [ATI Flipper, maxTextureSize, 1024x1024]
-
A.
maxTextureLayers
Indicates the maximum number of texture layers that can be applied or supported in a given rendering or material context.
-
B.
maximumResolution
chosen
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
C.
maximumVolumeSize
Indicates the largest allowable size or capacity that a volume can have within a given system or context.
-
D.
maximumProgramSize
Indicates the largest allowable or observed size of a program within a given context or system.
-
E.
maximumPackSize
Indicates the largest number of items or units that are allowed or intended to be grouped together in a single pack.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780dd5d08190b1ef4e49405a5419 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:25 p.m.