Triple
T17370995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krødsherad |
E422312
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Flå |
—
|
NE ONNED1 |
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: Flå | Statement: [Krødsherad, borderedBy, Flå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flå Context triple: [Krødsherad, borderedBy, Flå]
-
A.
Flå
chosen
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
-
B.
Florvåg
Florvåg is a village in western Norway located on the island of Askøy, near the city of Bergen.
-
C.
Flørli
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.
-
D.
Flekke
Flekke is a small village in Vestland county, Norway, known for its scenic fjord landscape and the presence of UWC Red Cross Nordic.
-
E.
Fløgstad
Fløgstad is a Norwegian surname most notably borne by the writer Kjartan Fløgstad.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
in_progress | May 11, 2026, 8:38 a.m. |
Created at: April 10, 2026, 5:44 a.m.