Triple
T32013555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KL10 |
E817471
|
entity |
| Predicate | supportsMemoryManagementUnit |
P87753
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [KL10, supportsMemoryManagementUnit, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemoryManagementUnit Context triple: [KL10, supportsMemoryManagementUnit, yes]
-
A.
memoryManagementUnit
Indicates a relationship where a component or mechanism manages and translates memory addresses or access between different parts of a system.
-
B.
supportsMemoryProtection
Indicates that one entity provides mechanisms to prevent unauthorized access or interference with another entity’s memory space.
-
C.
hasMemoryStatus
Indicates the current state or condition of an entity’s memory (such as availability, usage, or health).
-
D.
hasIntegratedMMU
chosen
Indicates that a system or processor includes a built-in Memory Management Unit (MMU) as part of its architecture.
-
E.
supportsECCMemory
Indicates that one entity provides compatibility with or the capability to use ECC (Error-Correcting Code) memory in relation to another entity.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:15 a.m.