Triple
T19617856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle registration plates of the Czech Republic |
E470913
|
entity |
| Predicate | motorcycleSize |
P135528
|
FINISHED |
| Object | smaller two‑line format |
—
|
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: smaller two‑line format | Statement: [Vehicle registration plates of the Czech Republic, motorcycleSize, smaller two‑line format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motorcycleSize Context triple: [Vehicle registration plates of the Czech Republic, motorcycleSize, smaller two‑line format]
-
A.
motorcyclePlateSize
chosen
Indicates the size or dimensions of a motorcycle’s license plate in the described context.
-
B.
motorcycleClass
Indicates the classification or category to which a motorcycle belongs (e.g., by type, style, or usage).
-
C.
tireSize
Indicates the specific size of a tire associated with an object or vehicle.
-
D.
cylinderSize
Indicates the size or capacity of a cylindrical object in the relationship.
-
E.
formerWheelDiameter
Indicates that one entity was previously the wheel diameter of another entity, but is no longer its current wheel diameter.
- 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.