Triple
T5923490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TinyScheme |
E131749
|
entity |
| Predicate | memoryCharacteristic |
P66725
|
FINISHED |
| Object | low memory footprint |
—
|
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: low memory footprint | Statement: [TinyScheme, memoryCharacteristic, low memory footprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryCharacteristic Context triple: [TinyScheme, memoryCharacteristic, low memory footprint]
-
A.
memoryType
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.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
D.
runtimeCharacteristic
Indicates a relationship where a system, process, or component is associated with a property or behavior that specifically manifests during its execution or operation time.
-
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. chosen
Provenance (4 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.