Triple
T29391259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adafruit Feather M0 boards |
E745373
|
entity |
| Predicate | sram |
P166725
|
FINISHED |
| Object | 32 KB |
—
|
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: 32 KB | Statement: [Adafruit Feather M0 boards, sram, 32 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sram Context triple: [Adafruit Feather M0 boards, sram, 32 KB]
-
A.
sramOptions
Indicates that certain configuration or operational parameters are associated with or applied to SRAM (static random-access memory).
-
B.
comparedToSRAM
Indicates a relationship where one entity is evaluated or measured in comparison to SRAM (Static Random-Access Memory) in terms of some property or performance characteristic.
-
C.
trek
Indicates undertaking a long, often challenging journey, typically on foot, from one place to another.
-
D.
antlerCycle
Indicates the recurring process or pattern by which an animal’s antlers grow, shed, and regrow over time.
-
E.
trekStage
Indicates a specific segment or leg within a longer trek or journey, typically ordered as part of a multi-stage route.
- 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.