Triple
T19350347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of Italy |
E483997
|
entity |
| Predicate | serialAllocation |
P1043
|
FINISHED |
| Object | national continuous series |
—
|
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: national continuous series | Statement: [Vehicle registration plates of Italy, serialAllocation, national continuous series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serialAllocation Context triple: [Vehicle registration plates of Italy, serialAllocation, national continuous series]
-
A.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
B.
inscriptionNumber
Indicates the identifying number assigned to a specific inscription within a collection or system.
-
C.
serialNumberRange
Indicates that there is a specified range of serial numbers within which the related entities or items fall.
-
D.
allocates
chosen
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
E.
sequenceID
Indicates that an entity is associated with a specific position or identifier within an ordered sequence.
- 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_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. |
Created at: April 10, 2026, 1:34 p.m.