Triple
T35330721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowdy |
E1020307
|
entity |
| Predicate | associatedWithCarNumber |
—
|
GENERATED |
| Object | 18 |
—
|
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: associatedWithCarNumber Context triple: [Rowdy, associatedWithCarNumber, 18]
-
A.
associatedWithDriver
Indicates that one entity has a connection or relationship with a specific driver, such as being linked, assigned, or otherwise related to that driver.
-
B.
alsoAssociatedWithDriver
Indicates that an entity has an additional or secondary association with a specified driver, beyond any primary or previously stated driver relationship.
-
C.
associatedWithVehicleOrStructure
Indicates that an entity has a relevant connection or involvement with a particular vehicle or structure.
-
D.
carNumberUsed
chosen
Indicates that a specific car number has been used or assigned in a given context or event.
-
E.
associatedWithPark
Indicates a relationship in which an entity is connected or linked in some relevant way to a particular park.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.