Triple
T22078239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akerselva |
E545577
|
entity |
| Predicate | sourceLocatedIn |
P409
|
FINISHED |
| Object | Maridalsvannet |
—
|
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: Maridalsvannet | Statement: [Akerselva, sourceLocatedIn, Maridalsvannet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maridalsvannet Context triple: [Akerselva, sourceLocatedIn, Maridalsvannet]
-
A.
Maridalsvannet
chosen
Maridalsvannet is the largest lake supplying drinking water to Oslo, Norway, and a popular nearby recreation area.
-
B.
Oppstrynsvatnet
Oppstrynsvatnet is a scenic glacial lake in Stryn, Vestland county, Norway, known for its turquoise waters and surrounding mountain landscapes.
-
C.
Hjellevannet
Hjellevannet is a lake in Telemark county, Norway, situated within Skien Municipality and forming part of the local river and lake system.
-
D.
Nøklevann
Nøklevann is a freshwater lake in the Østmarka forest area of Oslo, Norway, popular for outdoor recreation such as swimming, hiking, and fishing.
-
E.
Røssvatnet
Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b43df0819090c248ded98fad12 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.