Triple
T4442701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanami |
E96208
|
entity |
| Predicate | supportsArchitectureStyle |
P24956
|
FINISHED |
| Object | hexagonal 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: hexagonal architecture | Statement: [Hanami, supportsArchitectureStyle, hexagonal architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsArchitectureStyle Context triple: [Hanami, supportsArchitectureStyle, hexagonal architecture]
-
A.
usesArchitecture
chosen
Indicates that one entity is built, implemented, or operates according to the architectural style, framework, or design specified by another entity.
-
B.
laterSupportedArchitecture
Indicates that one architecture provides support for another architecture that was introduced or adopted at a later time.
-
C.
hasSubArchitecture
Indicates that one architectural component or structure is a subordinate or constituent part of a larger overarching architecture.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aef21c819088f168a23f1933a6 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.