Triple
T35149290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sânnicolau Mare |
E1014939
|
entity |
| Predicate | distanceToHungarianBorder |
—
|
GENERATED |
| Object | approximately 10 km |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHungarianBorder Context triple: [Sânnicolau Mare, distanceToHungarianBorder, approximately 10 km]
-
A.
distanceToAustrianBorder
Indicates the measured spatial distance between a given entity’s location and the border of Austria.
-
B.
distanceToPolishBorder
Indicates the measured distance between a given location and the nearest point on the border of Poland.
-
C.
distanceToBulgarianBorder_km
Indicates the distance, measured in kilometers, from a given location to the nearest point on the Bulgarian national border.
-
D.
borderLengthWithHungary_km
Indicates the length, in kilometers, of the border that an entity shares with Hungary.
-
E.
distanceToRussianBorder_km
Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
- F. None of above. chosen
Provenance (1 batch)
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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.