Triple
T23746478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish vehicle registration authorities |
E586828
|
entity |
| Predicate | primaryIdentificationOnPlates |
P79170
|
FINISHED |
| Object | voivodeship code |
—
|
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: voivodeship code | Statement: [Polish vehicle registration authorities, primaryIdentificationOnPlates, voivodeship code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIdentificationOnPlates Context triple: [Polish vehicle registration authorities, primaryIdentificationOnPlates, voivodeship code]
-
A.
licensePlateReference
Indicates a reference or link from one entity to a specific vehicle license plate identifier.
-
B.
usedOnOfficialPlatesIn
chosen
Indicates that something is employed or displayed on official license plates within a specified jurisdiction or region.
-
C.
licensePlateOrigin
Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
-
D.
hasPlate
Indicates that one entity possesses, is equipped with, or includes a plate as part of its attributes or components.
-
E.
firstCharactersOfPlate
Indicates that one entity specifies the initial characters appearing at the beginning of another entity’s license plate identifier.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbef1e481909fb49427dbd76460 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.