Triple
T7980235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel UHD Graphics 615 |
E185551
|
entity |
| Predicate | memoryConfiguration |
P66725
|
FINISHED |
| Object | no dedicated VRAM |
—
|
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: no dedicated VRAM | Statement: [Intel UHD Graphics 615, memoryConfiguration, no dedicated VRAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryConfiguration Context triple: [Intel UHD Graphics 615, memoryConfiguration, no dedicated VRAM]
-
A.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
B.
memoryCharacteristic
chosen
Indicates a relationship where a specific property or quality is attributed to a memory or memory-related entity.
-
C.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
-
D.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
E.
memoryModel
Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.