Triple
T889840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakha Republic |
E19214
|
entity |
| Predicate | areaRankingInRussia |
P1170
|
FINISHED |
| Object | largest federal subject by area |
—
|
LITERAL FINISHED |
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: areaRankingInRussia Context triple: [Sakha Republic, areaRankingInRussia, largest federal subject by area]
-
A.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
B.
populationRankingInUSSR
Indicates the relative position of an entity in terms of population size compared to other entities within the former USSR.
-
C.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
D.
areaShareOfUSSR
Indicates the proportion of a given area that belonged to, or was part of, the USSR relative to some larger reference area.
-
E.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- F. None of above.
Provenance (2 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9227ec8190a726456fc77c3ebb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.