Triple
T35743090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BR-43 |
E1033093
|
entity |
| Predicate | countryCodeOnPlates |
—
|
GENERATED |
| Object | IND |
—
|
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: countryCodeOnPlates Context triple: [BR-43, countryCodeOnPlates, IND]
-
A.
licensePlateOrigin
Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
-
B.
countryVehicleRegistrationSystem
Indicates a relationship where a country maintains or governs an official system for registering vehicles within its jurisdiction.
-
C.
registrationPlateFormat
Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
-
D.
usesCodeOnPlates
Indicates that an entity applies or employs a specific code or coding system on plates.
-
E.
countryDenoted
chosen
Indicates that one entity is a name, code, or symbol that specifically refers to or designates a particular country.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.