Triple
T8570881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Control Program for Microcomputers |
E202920
|
entity |
| Predicate | typicalMemoryRequirement |
P73266
|
FINISHED |
| Object | small memory footprint suitable for 8-bit systems |
—
|
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: small memory footprint suitable for 8-bit systems | Statement: [Control Program for Microcomputers, typicalMemoryRequirement, small memory footprint suitable for 8-bit systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemoryRequirement Context triple: [Control Program for Microcomputers, typicalMemoryRequirement, small memory footprint suitable for 8-bit systems]
-
A.
storageRequirement
Indicates the amount or type of storage capacity or resources that an entity needs in order to function or be maintained.
-
B.
typicalRequirement
chosen
Indicates that one entity is a standard or commonly expected prerequisite, condition, or necessity for another entity.
-
C.
typicalRAMRangeMB
Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
-
D.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.