Triple
T17740801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femundselva |
E442848
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Trysilelva |
—
|
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: Trysilelva | Statement: [Femundselva, mouth, Trysilelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trysilelva Context triple: [Femundselva, mouth, Trysilelva]
-
A.
Trysilelva
chosen
Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
-
B.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
C.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
D.
Ytteren
Ytteren is a residential village in Nordland county, Norway, situated near the town of Mo i Rana within Rana Municipality.
-
E.
Sveio
Sveio is a coastal municipality in Vestland county in western Norway, known for its rugged shoreline, islands, and rural landscapes.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acc2610819099451b02bb51891f |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.