Triple
T17517513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raspberry Pi Pico |
E426603
|
entity |
| Predicate | flashSizeMB |
P127732
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Raspberry Pi Pico, flashSizeMB, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashSizeMB Context triple: [Raspberry Pi Pico, flashSizeMB, 2]
-
A.
typicalFlashFootprint
Indicates the usual spatial extent or area on a surface that is illuminated by a flash under normal operating conditions.
-
B.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
C.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
D.
floppyDriveCapacity
Indicates the storage capacity associated with a floppy drive.
-
E.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.