Triple
T32988164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM 5154 Enhanced Color Display |
E844004
|
entity |
| Predicate | designedForGraphicsStandard |
P176089
|
FINISHED |
| Object | EGA |
—
|
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: EGA | Statement: [IBM 5154 Enhanced Color Display, designedForGraphicsStandard, EGA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForGraphicsStandard Context triple: [IBM 5154 Enhanced Color Display, designedForGraphicsStandard, EGA]
-
A.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
-
B.
supports2DGraphicsAcceleration
Indicates that an entity provides hardware or software capabilities to accelerate the processing and rendering of two-dimensional graphics operations.
-
C.
renderingTechnology
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
-
D.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
E.
graphicsCompatibility
chosen
Indicates that two entities can correctly display, process, or interact with the same graphical formats, features, or systems without errors or loss of quality.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 1, 2026, 1:22 a.m.