Triple
T1832508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Circuit Playground Express |
E40789
|
entity |
| Predicate | hasBootloader |
P31029
|
FINISHED |
| Object | UF2 bootloader |
—
|
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: UF2 bootloader | Statement: [Adafruit Circuit Playground Express, hasBootloader, UF2 bootloader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBootloader Context triple: [Adafruit Circuit Playground Express, hasBootloader, UF2 bootloader]
-
A.
bootLoader
chosen
Indicates that one entity functions as the boot loader responsible for initializing or starting up another entity (such as a system, device, or software environment).
-
B.
bootTimeCharacteristic
Indicates the duration or properties of the time it takes a system or device to start up from an inactive state.
-
C.
bootSectorContains
Indicates that the contents of a boot sector include or embed a specified data element or structure.
-
D.
hasFingerprintSensor
Indicates that an entity is equipped with or includes a fingerprint recognition sensor.
-
E.
hasClockSpeed
Indicates that an entity (typically a processor or device) operates at a specified clock frequency or speed.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.