Triple
T26965962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onion Architecture |
E679172
|
entity |
| Predicate | similarConcept |
P80920
|
FINISHED |
| Object | ports and adapters architecture |
—
|
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: ports and adapters architecture | Statement: [Onion Architecture, similarConcept, ports and adapters architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: similarConcept Context triple: [Onion Architecture, similarConcept, ports and adapters architecture]
-
A.
moreSimilarTo
Indicates that one entity bears a greater degree of similarity to a second entity than to a third entity, according to some defined similarity measure.
-
B.
lessSimilarTo
Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
-
C.
similarSchemeIn
Indicates that one entity uses a scheme or structural pattern that is similar to that used in another entity.
-
D.
relatedAnalogy
chosen
Indicates that one entity is connected to another through an analogy, expressing a similarity or correspondence in structure, function, or relationship between them.
-
E.
similarSeries
Indicates that two series share notable similarities in content, style, or characteristics.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 6:35 a.m.