Triple
T17668288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Besseggen ridge |
E440444
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Vågå |
—
|
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: Vågå | Statement: [Besseggen ridge, nearbyTown, Vågå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågå Context triple: [Besseggen ridge, nearbyTown, Vågå]
-
A.
Vågå
chosen
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
-
B.
Borgå
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
-
C.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
D.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
E.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6723d081908eaa57eef6d70bd0 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 9:58 a.m.