Triple
T9026866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam440ep |
E216068
|
entity |
| Predicate | onboardGraphicsMemory |
P30786
|
FINISHED |
| Object | 64 MB |
—
|
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: 64 MB | Statement: [Sam440ep, onboardGraphicsMemory, 64 MB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onboardGraphicsMemory Context triple: [Sam440ep, onboardGraphicsMemory, 64 MB]
-
A.
videoMemorySize
chosen
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
graphicsAdapter
Indicates a relationship where a device or system is associated with, uses, or is equipped with a particular graphics adapter (graphics processing hardware).
-
C.
hasOnboardComputer
Indicates that one entity is equipped with or contains an onboard computer system.
-
D.
memoryOnPackage
Indicates that a memory component is mounted directly on top of, or within the same physical package as, another device or chip.
-
E.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7eb5b881908ace0c3327f06161 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.