Triple
T28899724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Software Components Group |
E732920
|
entity |
| Predicate | productArchitectureSupport |
P24956
|
FINISHED |
| Object | microcontroller-based systems |
—
|
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: microcontroller-based systems | Statement: [Software Components Group, productArchitectureSupport, microcontroller-based systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productArchitectureSupport Context triple: [Software Components Group, productArchitectureSupport, microcontroller-based systems]
-
A.
productRole
Indicates the functional role or purpose that a product has within a broader system, context, or usage scenario.
-
B.
usesArchitecture
chosen
Indicates that one entity is built, implemented, or operates according to the architectural style, framework, or design specified by another entity.
-
C.
supportsProduct
Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
-
D.
usesArchitectureComponent
Indicates that one entity employs or incorporates a specific architecture component as part of its structure, design, or implementation.
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 8:01 a.m.