Triple
T17517519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raspberry Pi Pico |
E426603
|
entity |
| Predicate | totalPinCount |
P11427
|
FINISHED |
| Object | 40-pin 2.54mm DIP-compatible |
—
|
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: 40-pin 2.54mm DIP-compatible | Statement: [Raspberry Pi Pico, totalPinCount, 40-pin 2.54mm DIP-compatible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalPinCount Context triple: [Raspberry Pi Pico, totalPinCount, 40-pin 2.54mm DIP-compatible]
-
A.
pinCount
Indicates the number of pins associated with or assigned to a given entity.
-
B.
hasPinCount
Indicates that an entity is associated with a specific number of pins.
-
C.
dataPinCount
Indicates the number of data pins associated with or used by an entity in a given context.
-
D.
hasNumberOfPins
chosen
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
E.
powerPinCount
Indicates the number of power-related pins associated with an electronic component or connector.
- 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_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. |
Created at: April 10, 2026, 5:49 a.m.