Triple
T35285972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow–St. Petersburg corridor |
E1019083
|
entity |
| Predicate | supportsUrbanAreas |
—
|
GENERATED |
| Object | Moscow metropolitan area |
—
|
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: supportsUrbanAreas Context triple: [Moscow–St. Petersburg corridor, supportsUrbanAreas, Moscow metropolitan area]
-
A.
coversUrbanAreas
chosen
Indicates that something extends over, includes, or provides coverage for urban or metropolitan areas.
-
B.
statusInUrbanAreas
Indicates the condition, prevalence, or situation of something specifically within urban areas.
-
C.
significantUrbanArea
Indicates that a location is classified as a major or important urban center within a broader geographic or administrative context.
-
D.
hasMostOfUrbanAreasOf
Indicates that one entity contains or encompasses the majority of the urban areas belonging to another entity.
-
E.
containsUrbanArea
Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
- F. None of above.
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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.