Triple
T17457825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Norsjø |
E425075
|
entity |
| Predicate | inflows |
P4496
|
FINISHED |
| Object | Eidangerelva |
—
|
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: Eidangerelva | Statement: [Lake Norsjø, inflows, Eidangerelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eidangerelva Context triple: [Lake Norsjø, inflows, Eidangerelva]
-
A.
Eidselva
Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
-
B.
Oreälven
Oreälven is a river in central Sweden that flows through Dalarna County and ultimately drains into Lake Siljan.
-
C.
Sauarelva
chosen
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
-
D.
Solbergelva
Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
-
E.
Lærdalselvi
Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4514385e48190b97a257bb3d07d2d |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.