Triple
T35421879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheese Bridge Area |
E1023816
|
entity |
| Predicate | supportsMount |
—
|
GENERATED |
| Object | Yoshi |
—
|
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: supportsMount Context triple: [Cheese Bridge Area, supportsMount, Yoshi]
-
A.
supportsMountTargets
Indicates that one entity provides or is compatible with mount targets for another entity.
-
B.
hasMountingFeature
chosen
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
-
C.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
D.
supportsPort
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
-
E.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.