Triple
T15574291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muonio |
E374327
|
entity |
| Predicate | borderFormedBy |
P14046
|
FINISHED |
| Object | Muonio River |
—
|
NE NERFINISHED |
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: Muonio River | Statement: [Muonio, borderFormedBy, Muonio River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muonio River Context triple: [Muonio, borderFormedBy, Muonio River]
-
A.
Muonio River
chosen
The Muonio River is a northern European river forming part of the border between Finland and Sweden and flowing through Lapland’s sparsely populated wilderness.
-
B.
Nerekhta River
The Nerekhta River is a small waterway in central Russia that flows through the town of Nerekhta and forms part of the region’s local river system.
-
C.
Uono River
The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
-
D.
Miel River
Miel River is a scenic river in the Baracoa region of eastern Cuba, known for its lush tropical surroundings and clear, swimmable waters.
-
E.
Vacha River
The Vacha River is a significant river in southern Bulgaria known for its deep gorges, hydroelectric dams, and reservoirs as it flows through the Rhodope Mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
Created at: April 10, 2026, 4:10 a.m.