Triple
T18922865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duved |
E462904
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Tegefjäll |
—
|
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: Tegefjäll | Statement: [Duved, nearbyPlace, Tegefjäll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegefjäll Context triple: [Duved, nearbyPlace, Tegefjäll]
-
A.
Tegefjäll
chosen
Tegefjäll is a small ski resort settlement in the Åre ski area of Jämtland, Sweden.
-
B.
Helagsfjället
Helagsfjället is a prominent mountain massif in Sweden known for its glacier, popular hiking trails, and rich alpine scenery.
-
C.
Sonfjället
Sonfjället is a prominent mountain and national park in central Sweden, known for its rounded peak, extensive forests, and rich wildlife including one of the country’s oldest bear populations.
-
D.
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.
-
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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.