Triple
T19617845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of the Czech Republic |
E470913
|
entity |
| Predicate | hasSpecialSeries |
P32672
|
FINISHED |
| Object | personalized plates |
—
|
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: personalized plates | Statement: [Vehicle registration plates of the Czech Republic, hasSpecialSeries, personalized plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialSeries Context triple: [Vehicle registration plates of the Czech Republic, hasSpecialSeries, personalized plates]
-
A.
hasProminentSeries
Indicates that an entity is notably associated with a major or well-known series as a defining feature.
-
B.
hasSpecials
Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
-
C.
hasNumberOfSpecials
Indicates that an entity is associated with a specific count of special items, features, or occurrences.
-
D.
hasSpecial
chosen
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
E.
hasStandardSeries
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e346548190b12e38d716bdfc4f |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.