Triple
T1936729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo GameCube |
E41458
|
entity |
| Predicate | auxiliaryMemory |
P9896
|
FINISHED |
| Object | 16 MB DRAM |
—
|
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: 16 MB DRAM | Statement: [Nintendo GameCube, auxiliaryMemory, 16 MB DRAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: auxiliaryMemory Context triple: [Nintendo GameCube, auxiliaryMemory, 16 MB DRAM]
-
A.
memoryType
chosen
Indicates the specific category or kind of memory associated with an entity or process.
-
B.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
-
C.
auxiliaryTo
Indicates that one entity serves as a supporting or helping element that assists or modifies the primary action or role of another entity.
-
D.
expandableRAM
Indicates that a device’s RAM can be increased beyond its original capacity, typically by adding or upgrading memory modules.
-
E.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.