Triple
T1832477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Circuit Playground Express |
E40789
|
entity |
| Predicate | hasOnboardLEDs |
P34288
|
FINISHED |
| Object | 10 NeoPixel RGB LEDs |
—
|
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: 10 NeoPixel RGB LEDs | Statement: [Adafruit Circuit Playground Express, hasOnboardLEDs, 10 NeoPixel RGB LEDs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardLEDs Context triple: [Adafruit Circuit Playground Express, hasOnboardLEDs, 10 NeoPixel RGB LEDs]
-
A.
hasNumberOfMainLights
Indicates the relationship that specifies how many primary or main lights are associated with an entity.
-
B.
hasOnboardSystems
Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
-
C.
hasOnboardComputer
Indicates that one entity is equipped with or contains an onboard computer system.
-
D.
led
Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
-
E.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
- 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_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. |
| PDg | Predicate description generation | batch_69abb4517f9c8190a5d9bc965a4f29c9 |
completed | March 7, 2026, 5:14 a.m. |
Created at: March 4, 2026, 7:32 p.m.