Triple
T22078258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akerselva |
E545577
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Nydalen |
—
|
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: Nydalen | Statement: [Akerselva, passesThrough, Nydalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nydalen Context triple: [Akerselva, passesThrough, Nydalen]
-
A.
Nydalen
chosen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
-
B.
Bangdalen
Bangdalen is a small rural settlement located within Namsos municipality in Trøndelag county, Norway.
-
C.
Glåmdalen
Glåmdalen is a valley region in Eastern Norway known for the Glomma River and its surrounding agricultural and forested landscapes.
-
D.
Leirdalen
Leirdalen is a scenic glacial valley in Jotunheimen, Norway, known for its dramatic mountain landscapes and popular hiking routes.
-
E.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
- 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.