Triple

T10156553
Position Surface form Disambiguated ID Type / Status
Subject Enhanced Graphics Adapter E233789 entity
Predicate typicalVideoRAM P30786 FINISHED
Object 64 KB 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 KB | Statement: [Enhanced Graphics Adapter, typicalVideoRAM, 64 KB]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalVideoRAM
Context triple: [Enhanced Graphics Adapter, typicalVideoRAM, 64 KB]
  • A. videoMemorySize chosen
    Indicates the amount of video memory associated with a graphics-related component or device.
  • B. typicalRAMRange
    Indicates the usual or commonly expected range of RAM capacity associated with an entity.
  • C. typicalRAMRangeMB
    Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
  • D. typicalResolution
    Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
  • E. minRAM
    Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3c47dc81909679903e6024eb49 completed April 2, 2026, 4:10 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.