Triple
T1832489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Circuit Playground Express |
E40789
|
entity |
| Predicate | hasBuzzer |
P34293
|
FINISHED |
| Object | mini speaker |
—
|
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: mini speaker | Statement: [Adafruit Circuit Playground Express, hasBuzzer, mini speaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuzzer Context triple: [Adafruit Circuit Playground Express, hasBuzzer, mini speaker]
-
A.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
B.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
C.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
-
D.
hasBroadcaster
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
-
E.
hasBench
Indicates that one entity possesses, contains, or is equipped with a bench.
- 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.