Triple
T17793713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsen |
E444232
|
entity |
| Predicate | hasValleyName |
P650
|
FINISHED |
| Object | Namdalen |
—
|
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: Namdalen | Statement: [Namsen, hasValleyName, Namdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namdalen Context triple: [Namsen, hasValleyName, Namdalen]
-
A.
Namdalen
chosen
Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
-
B.
Songdalen
Songdalen is a former municipality in Agder county, Norway, now part of the city of Kristiansand and known for its rural landscapes and proximity to the Songdalselva river.
-
C.
Sogndalsdalen
Sogndalsdalen is a scenic valley in western Norway known for its dramatic landscapes, rivers, and access to hiking and outdoor activities.
-
D.
Tromsdalen
Tromsdalen is a residential valley and neighborhood area in Tromsø, Norway, known for its scenic setting across from Tromsøya island and landmarks like the Arctic Cathedral.
-
E.
Rapadalen
Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487993a6c8190805e06d93dfc0dce |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.