Triple
T29391294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Feather M0 boards |
E745373
|
entity |
| Predicate | openSourceHardware |
P166726
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Adafruit Feather M0 boards, openSourceHardware, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openSourceHardware Context triple: [Adafruit Feather M0 boards, openSourceHardware, yes]
-
A.
openSourceProject
Indicates that the subject is a software project whose source code is publicly available and can be used, modified, and redistributed under an open-source license.
-
B.
openSource
Indicates that the subject makes its source code publicly available under a license that allows others to use, modify, and redistribute it.
-
C.
openSourceComponents
Indicates that one entity uses, includes, or is composed of open-source software components provided by another entity.
-
D.
hasOpenSourceImplementationsIn
Indicates that something has one or more open-source implementations available in the specified environment, platform, or language.
-
E.
openSourceStatus
Indicates whether something is publicly available under an open-source license, allowing use, modification, and distribution of its source.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669ff3b2081909ecfc701841c6532 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:42 p.m.