Triple
T4670160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudbrandsdalslågen |
E102941
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Nord-Fron |
E433529
|
NE FINISHED |
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: Nord-Fron | Statement: [Gudbrandsdalslågen, flowsThrough, Nord-Fron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Fron Context triple: [Gudbrandsdalslågen, flowsThrough, Nord-Fron]
-
A.
Nord-Fron
chosen
Nord-Fron is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and location in the Gudbrandsdalen valley.
-
B.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
C.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
D.
Romsdal
Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
-
E.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd634ef5608190925663e988e3585b |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39c275a88190a65ceb1586257d1e |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:15 p.m.