Triple
T30015763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeagleBone Black |
E762589
|
entity |
| Predicate | supportsCloud9IDE |
P102490
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [BeagleBone Black, supportsCloud9IDE, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCloud9IDE Context triple: [BeagleBone Black, supportsCloud9IDE, true]
-
A.
supportsIDEIntegration
chosen
Indicates that one entity provides compatibility or features that allow it to work seamlessly within or alongside an Integrated Development Environment (IDE).
-
B.
supportsCloudModel
Indicates that one entity provides compatibility with, or operational backing for, a cloud-based model offered or used by another entity.
-
C.
supportsCloudTesting
Indicates that one entity provides or enables cloud-based testing capabilities for another entity or process.
-
D.
studioHost
Indicates that one entity serves as the host or presenter within a studio setting for another entity or program.
-
E.
usesCloudTechnologyFrom
Indicates that one entity employs or relies on cloud-based technology, services, or infrastructure provided by another entity.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:45 p.m.