Triple
T17658218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haukeli |
E440180
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Setesdalsheiene |
—
|
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: Setesdalsheiene | Statement: [Haukeli, locatedInRegion, Setesdalsheiene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setesdalsheiene Context triple: [Haukeli, locatedInRegion, Setesdalsheiene]
-
A.
Setesdalsheiene
chosen
Setesdalsheiene is a mountainous plateau region in southern Norway known for its rugged terrain, hiking opportunities, and traditional upland landscapes.
-
B.
Tinnsjå
Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
-
C.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
D.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
E.
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
- 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_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:33 a.m.