Triple
T26965946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onion Architecture |
E679172
|
entity |
| Predicate | organizesCodeAs |
P4786
|
FINISHED |
| Object | concentric layers |
—
|
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: concentric layers | Statement: [Onion Architecture, organizesCodeAs, concentric layers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesCodeAs Context triple: [Onion Architecture, organizesCodeAs, concentric layers]
-
A.
organizedAs
chosen
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
B.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
C.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
D.
organizes
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
-
E.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 6:35 a.m.