Triple
T20707665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raumabanen |
E508946
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Trollveggen |
—
|
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: Trollveggen | Statement: [Raumabanen, passesNear, Trollveggen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trollveggen Context triple: [Raumabanen, passesNear, Trollveggen]
-
A.
Trollveggen
chosen
Trollveggen is a famous vertical rock wall in Norway’s Romsdalen valley, renowned as one of Europe’s tallest and most challenging climbing cliffs.
-
B.
Grindafjell
Grindafjell is a mountain located near the lake Vangsmjøse in Vang, Innlandet county, Norway, known for its scenic hiking terrain and views of the surrounding Valdres region.
-
C.
Svellnosbreen
Svellnosbreen is a notable glacier in the Jotunheimen mountain range of Norway, situated near the country’s highest peak, Galdhøpiggen.
-
D.
Saltfjellet
Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
-
E.
Etnefjellet
Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.