Triple
T1832509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Circuit Playground Express |
E40789
|
entity |
| Predicate | hasMountingFeature |
P34295
|
FINISHED |
| Object | sewable pads |
—
|
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: sewable pads | Statement: [Adafruit Circuit Playground Express, hasMountingFeature, sewable pads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountingFeature Context triple: [Adafruit Circuit Playground Express, hasMountingFeature, sewable pads]
-
A.
hasMount
Indicates that an entity is equipped with, riding, or otherwise using another entity as a mount for transportation or support.
-
B.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
C.
hasSummitFeature
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
D.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
E.
hasLiftType
Indicates the specific type or category of lift associated with an entity.
- 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.