Triple
T29391258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Feather M0 boards |
E745373
|
entity |
| Predicate | flashMemory |
P127732
|
FINISHED |
| Object | 256 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: 256 KB | Statement: [Adafruit Feather M0 boards, flashMemory, 256 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashMemory Context triple: [Adafruit Feather M0 boards, flashMemory, 256 KB]
-
A.
flashMemoryMax
Indicates the maximum flash memory capacity associated with an entity or component.
-
B.
flashSizeMB
chosen
Indicates the amount of flash memory associated with an entity, measured in megabytes (MB).
-
C.
typicalFlashFootprint
Indicates the usual spatial extent or area on a surface that is illuminated by a flash under normal operating conditions.
-
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.
flashType
Indicates the type or mode of flash used or associated with an event, object, or action.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669ff3b2081909ecfc701841c6532 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 2:42 p.m.