Triple
T17861026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øvre Årdal |
E446070
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Årdalstangen |
—
|
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: Årdalstangen | Statement: [Øvre Årdal, roadConnectionTo, Årdalstangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årdalstangen Context triple: [Øvre Årdal, roadConnectionTo, Årdalstangen]
-
A.
Årdalstangen
chosen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
B.
Ålfoten
Ålfoten is a small village in Bremanger Municipality in Vestland county, western Norway, known for its fjord-side setting and surrounding mountainous landscape.
-
C.
Hornindalsrokken
Hornindalsrokken is a prominent mountain peak in western Norway, known for its striking alpine profile and popular hiking routes.
-
D.
Setesdalsheiene
Setesdalsheiene is a mountainous plateau region in southern Norway known for its rugged terrain, hiking opportunities, and traditional upland landscapes.
-
E.
Tallkrogen
Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.