Triple
T16342087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storfjorden |
E396830
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Valldal |
—
|
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: Valldal | Statement: [Storfjorden, hasNearbyVillage, Valldal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valldal Context triple: [Storfjorden, hasNearbyVillage, Valldal]
-
A.
Valldal
chosen
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
B.
Gravdal
Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
C.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
D.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
E.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ad510819082e440f5e2bceada |
completed | April 18, 2026, 1:10 a.m. |
Created at: April 10, 2026, 5:07 a.m.