Triple
T30766817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR |
E783394
|
entity |
| Predicate | isOnVehiclePlatesOf |
P79170
|
FINISHED |
| Object | Graubünden |
—
|
NE NERFINISHED |
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: Graubünden | Statement: [GR, isOnVehiclePlatesOf, Graubünden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnVehiclePlatesOf Context triple: [GR, isOnVehiclePlatesOf, Graubünden]
-
A.
hasPlate
Indicates that one entity possesses, is equipped with, or includes a plate as part of its attributes or components.
-
B.
usedOnOfficialPlatesIn
chosen
Indicates that something is employed or displayed on official license plates within a specified jurisdiction or region.
-
C.
usesCodeOnPlates
Indicates that an entity applies or employs a specific code or coding system on plates.
-
D.
licensePlateReference
Indicates a reference or link from one entity to a specific vehicle license plate identifier.
-
E.
identifiesVehiclesRegisteredIn
Indicates that an entity specifies or determines which vehicles are registered within a particular scope or authority.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fbe1b2881909ca26a21f9e67ddc |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:40 p.m.