Triple
T2973436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rioni River |
E80336
|
entity |
| Predicate | basinSize_km2 |
P1641
|
FINISHED |
| Object | 13400 |
—
|
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: 13400 | Statement: [Rioni River, basinSize_km2, 13400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basinSize_km2 Context triple: [Rioni River, basinSize_km2, 13400]
-
A.
drainageBasinArea
chosen
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
B.
drainageAreaApprox
Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
-
C.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
D.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
E.
basinCountry
Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.