Triple
T1774117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System 1 |
E38938
|
entity |
| Predicate | memoryRequirements |
P18024
|
FINISHED |
| Object | 128 KB RAM minimum |
—
|
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: 128 KB RAM minimum | Statement: [System 1, memoryRequirements, 128 KB RAM minimum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryRequirements Context triple: [System 1, memoryRequirements, 128 KB RAM minimum]
-
A.
storageRequirement
Indicates the amount or type of storage capacity or resources that an entity needs in order to function or be maintained.
-
B.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
C.
minRAM
chosen
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
D.
marginRequirement
Indicates the minimum amount of collateral or equity that must be maintained to support a position or transaction, typically expressed as a percentage of the position’s value.
-
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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.