Triple
T19350318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of Italy |
E483997
|
entity |
| Predicate | previousFormatPeriod |
P38039
|
FINISHED |
| Object | 1985–1994 |
—
|
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: 1985–1994 | Statement: [Vehicle registration plates of Italy, previousFormatPeriod, 1985–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousFormatPeriod Context triple: [Vehicle registration plates of Italy, previousFormatPeriod, 1985–1994]
-
A.
previousFormatYears
chosen
Indicates the number of years during which a previous format, version, or configuration was in use before the current one.
-
B.
previousFormatUntil
Indicates that a prior format or state remained in effect up to, but not beyond, a specified point in time.
-
C.
previousFormats
Indicates that an entity has had one or more earlier or prior formats or versions it existed in before its current form.
-
D.
previousPeriod
Indicates that one time period directly precedes another in a sequence of periods.
-
E.
historicalFormat
Indicates that something is presented or recorded in a format that was used in the past, reflecting its historical or legacy form.
- 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.