Triple
T36490391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Model To Learn Them All |
E899035
|
entity |
| Predicate | typeOfArchitecture |
—
|
GENERATED |
| Object | unified model |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfArchitecture Context triple: [One Model To Learn Them All, typeOfArchitecture, unified model]
-
A.
architectureType
chosen
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
B.
exampleArchitecture
Indicates that one entity serves as a representative or illustrative instance of the architectural style, structure, or design of another entity.
-
C.
architectureName
Indicates the specific name or title assigned to an architecture.
-
D.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
E.
architecturalWorkType
Indicates the specific kind or category of architectural work that characterizes the relationship between entities.
- F. None of above.
Provenance (1 batch)
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.