Triple
T13764578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola 68060 |
E330704
|
entity |
| Predicate | memoryManagementUnit |
P110870
|
FINISHED |
| Object | integrated MMU |
—
|
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: integrated MMU | Statement: [Motorola 68060, memoryManagementUnit, integrated MMU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryManagementUnit Context triple: [Motorola 68060, memoryManagementUnit, integrated MMU]
-
A.
memoryModel
Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
-
B.
managementUnitOf
Indicates that one entity serves as the administrative or managerial unit responsible for overseeing or controlling another entity.
-
C.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
D.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
-
E.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:10 p.m.