Triple
T15562820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flørli hydropower station |
E371039
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Flørli |
E371039
|
NE FINISHED |
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: Flørli | Statement: [Flørli hydropower station, locatedIn, Flørli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flørli Context triple: [Flørli hydropower station, locatedIn, Flørli]
-
A.
Flørli
chosen
Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
-
B.
Fløgstad
Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
-
C.
Flå
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
-
D.
Smøla
Smøla is a coastal municipality and island in western Norway known for its flat, windswept landscape, fishing communities, and large wind farm.
-
E.
Fløysvingene
Fløysvingene is an intermediate stop on the Fløibanen funicular in Bergen, Norway, serving hikers and visitors heading into the surrounding hillside trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddc66448190948280fb0c8d390c |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2f229081908faf15f9d8efecbf |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:09 a.m.