Triple
T8435741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original Chip Set |
E199218
|
entity |
| Predicate | graphicsResolutionSupport |
P74451
|
FINISHED |
| Object | up to 640×512 interlaced in PAL |
—
|
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: up to 640×512 interlaced in PAL | Statement: [Original Chip Set, graphicsResolutionSupport, up to 640×512 interlaced in PAL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsResolutionSupport Context triple: [Original Chip Set, graphicsResolutionSupport, up to 640×512 interlaced in PAL]
-
A.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
B.
supportsDisplayResolution
chosen
Indicates that one entity is capable of operating with, rendering, or otherwise accommodating the specified display resolution of another entity.
-
C.
graphicsCapabilities
Indicates the level or type of graphical processing features or performance that an entity supports or provides.
-
D.
availableDisplaySizes
Indicates the set of display size options that can be provided or used for a given entity.
-
E.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.