Triple
T17370983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krødsherad |
E422312
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Noresund |
—
|
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: Noresund | Statement: [Krødsherad, hasCapital, Noresund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noresund Context triple: [Krødsherad, hasCapital, Noresund]
-
A.
Noresund
chosen
Noresund is a small village in Viken county, Norway, known as a local service and tourism hub near the lake Krøderen and the Norefjell mountain area.
-
B.
Norrsundet
Norrsundet is a small coastal locality in eastern Sweden known historically for its sawmill and harbor along the Gulf of Bothnia.
-
C.
Kvernes
Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
-
D.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
-
E.
Sundet
Sundet is the main town and local hub of Eidsvoll municipality in Norway, serving as its commercial and service center.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.