Triple
T17022727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVR microcontrollers |
E412985
|
entity |
| Predicate | dataMemoryType |
P9896
|
FINISHED |
| Object | SRAM |
—
|
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: SRAM | Statement: [AVR microcontrollers, dataMemoryType, SRAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataMemoryType Context triple: [AVR microcontrollers, dataMemoryType, SRAM]
-
A.
memoryType
chosen
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.
memoryCharacteristic
Indicates a relationship where a specific property or quality is attributed to a memory or memory-related entity.
-
D.
memoryInterface
Indicates that one entity serves as an interface or access point for interacting with, reading from, or writing to another entity’s memory.
-
E.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d1d2e48190bbcba129247c6c2e |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.