Triple
T29949099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATI Flipper |
E760720
|
entity |
| Predicate | textureCache |
P168712
|
FINISHED |
| Object | 1 MB embedded texture cache |
—
|
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: 1 MB embedded texture cache | Statement: [ATI Flipper, textureCache, 1 MB embedded texture cache]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureCache Context triple: [ATI Flipper, textureCache, 1 MB embedded texture cache]
-
A.
textureFeatures
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
-
B.
textureOfCenter
Indicates the texture characteristic specifically associated with the central part of an object or region.
-
C.
textureType
Indicates the specific kind or category of surface quality or feel that characterizes an entity.
-
D.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
E.
usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6:25 p.m.