Triple
T19350315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of Italy |
E483997
|
entity |
| Predicate | standardRearPlateSize |
P135525
|
FINISHED |
| Object | 520 mm × 110 mm |
—
|
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: 520 mm × 110 mm | Statement: [Vehicle registration plates of Italy, standardRearPlateSize, 520 mm × 110 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardRearPlateSize Context triple: [Vehicle registration plates of Italy, standardRearPlateSize, 520 mm × 110 mm]
-
A.
isOnRearPlate
Indicates that one entity is positioned on or attached to the rear plate of another entity.
-
B.
hasRearUnitType
Indicates that an entity’s rear section or back part is of a specified type.
-
C.
typicalLugWidth
Indicates the standard or commonly used width of a lug in a given context or application.
-
D.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
E.
suspensionRear
Indicates that the relationship or action involves the rear suspension component or system of an object, typically a vehicle.
- F. None of above. chosen
Provenance (4 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.