Triple
T5441805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemijoki |
E122150
|
entity |
| Predicate | confluence |
P2416
|
FINISHED |
| Object | joins Ounasjoki at Rovaniemi |
—
|
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: joins Ounasjoki at Rovaniemi | Statement: [Kemijoki, confluence, joins Ounasjoki at Rovaniemi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confluence Context triple: [Kemijoki, confluence, joins Ounasjoki at Rovaniemi]
-
A.
confluenceWith
chosen
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
-
B.
confluenceLocation
Indicates the place where two or more flowing entities (such as rivers or streams) meet and merge.
-
C.
confluenceRegion
Indicates the region where two or more entities (typically flows, paths, or streams) merge or come together into a single combined course.
-
D.
confluenceDistrict
Indicates a relationship where an area or region is designated as the district surrounding or encompassing the confluence of two or more water bodies.
-
E.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.