Triple
T4055791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smolensk–Moscow Upland |
E84689
|
entity |
| Predicate | feedsRiverSystem |
P2432
|
FINISHED |
| Object | Oka–Volga river system |
—
|
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: Oka–Volga river system | Statement: [Smolensk–Moscow Upland, feedsRiverSystem, Oka–Volga river system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedsRiverSystem Context triple: [Smolensk–Moscow Upland, feedsRiverSystem, Oka–Volga river system]
-
A.
riverSystem
Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
-
B.
feedsRiver
Indicates that one water body or source supplies water to and flows into a river.
-
C.
tributarySystem
Indicates a relationship where one political entity pays regular tribute or offers deference to another, acknowledging the latter’s superior authority or status.
-
D.
waterwaySystem
chosen
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
E.
reservoirRiver
Indicates that a reservoir is supplied or drained by, and thus hydrologically connected to, a particular river.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbabec608190a35d39d3d03b928b |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.