Triple
T33671395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiny BASIC |
E862626
|
entity |
| Predicate | typicalMemoryFootprint |
P182121
|
FINISHED |
| Object | 2 KB to 4 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: 2 KB to 4 KB | Statement: [Tiny BASIC, typicalMemoryFootprint, 2 KB to 4 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemoryFootprint Context triple: [Tiny BASIC, typicalMemoryFootprint, 2 KB to 4 KB]
-
A.
hasSmallMemoryFootprint
chosen
Indicates that something requires only a small amount of memory resources to operate or be stored.
-
B.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
C.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
-
D.
memoryOverhead
Indicates the additional memory resources required by an entity or process beyond its essential or baseline memory usage.
-
E.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.