Triple
T22560358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venta River |
E557794
|
entity |
| Predicate | hasCrossBorderBasin |
P66357
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Venta River, hasCrossBorderBasin, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderBasin Context triple: [Venta River, hasCrossBorderBasin, true]
-
A.
hasCrossBorderArea
Indicates that an entity is associated with or spans a geographic area that extends across national or jurisdictional borders.
-
B.
transboundaryBasin
chosen
Indicates that a river basin or watershed extends across and is shared by the territories of two or more political or administrative jurisdictions.
-
C.
crossesBorderOf
Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
-
D.
hasWaterBasins
Indicates that one entity possesses, contains, or includes one or more water basins in relation to another entity.
-
E.
hasSettlementInBasin
Indicates that a settlement is located within the geographic area of a specific basin.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.