Triple
T19350322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of Italy |
E483997
|
entity |
| Predicate | currentFormatFeature |
P23225
|
FINISHED |
| Object | no province code in main alphanumeric sequence |
—
|
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: no province code in main alphanumeric sequence | Statement: [Vehicle registration plates of Italy, currentFormatFeature, no province code in main alphanumeric sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentFormatFeature Context triple: [Vehicle registration plates of Italy, currentFormatFeature, no province code in main alphanumeric sequence]
-
A.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
B.
usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
C.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
D.
featuresFormat
chosen
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
-
E.
supportsTextFormat
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
- 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.