Triple
T14090870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Volga |
E339126
|
entity |
| Predicate | positionInRiverCourse |
P71990
|
FINISHED |
| Object | downstream section of the Volga River |
—
|
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: downstream section of the Volga River | Statement: [Lower Volga, positionInRiverCourse, downstream section of the Volga River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInRiverCourse Context triple: [Lower Volga, positionInRiverCourse, downstream section of the Volga River]
-
A.
positionInRiverSystem
chosen
Indicates the relative location or order of a water body or feature within the hierarchical structure of a river system (e.g., upstream, downstream, tributary level).
-
B.
positionInCanal
Indicates that an entity occupies a specific location within a canal.
-
C.
riverLocation
Indicates that a river is located in, passes through, or is geographically associated with a specified place or region.
-
D.
waterbodyOnCourse
Indicates that a waterbody lies along, intersects, or is situated on the path of a particular course, such as a river or stream.
-
E.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.