Triple
T30685531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malyn |
E781173
|
entity |
| Predicate | drivingSideCountry |
P169169
|
FINISHED |
| Object | right-hand traffic in Ukraine |
—
|
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: right-hand traffic in Ukraine | Statement: [Malyn, drivingSideCountry, right-hand traffic in Ukraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingSideCountry Context triple: [Malyn, drivingSideCountry, right-hand traffic in Ukraine]
-
A.
drivingSide
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
B.
countryOnOneSide
Indicates that one entity is located on one side or border of a specified country.
-
C.
regionCountrySide
Indicates that a region is located in or associated with the countryside or rural area of a country.
-
D.
drivingOrientation
chosen
Indicates the customary side of the road on which vehicles are driven in a given place or context.
-
E.
countryOnAxisSide
Indicates that a country was aligned with or belonged to the Axis side in a particular conflict or war.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b83da3881908f819b08aaba4ff2 |
completed | May 2, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.