Triple
T5196566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland |
E117287
|
entity |
| Predicate | hasVehicleRegistrationCodeSystem |
P41345
|
FINISHED |
| Object | Polish vehicle registration plates |
—
|
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: Polish vehicle registration plates | Statement: [Poland, hasVehicleRegistrationCodeSystem, Polish vehicle registration plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleRegistrationCodeSystem Context triple: [Poland, hasVehicleRegistrationCodeSystem, Polish vehicle registration plates]
-
A.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
B.
hasHistoricRegistrationPlateCode
Indicates that an entity is associated with a specific code assigned to its historic (vintage/classic) vehicle registration plate.
-
C.
identifiesVehiclesRegisteredIn
chosen
Indicates that an entity specifies or determines which vehicles are registered within a particular scope or authority.
-
D.
registrationNumber
Indicates the unique identifier assigned to an entity as part of an official or formal registration process.
-
E.
hasCountyNumberPlateCode
Indicates that an entity (such as a vehicle or registration) bears a number plate code that corresponds to a specific county.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.