Triple
T15302708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folgefonna |
E365826
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Kvinnherad |
E365824
|
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: Kvinnherad | Statement: [Folgefonna, municipality, Kvinnherad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvinnherad Context triple: [Folgefonna, municipality, Kvinnherad]
-
A.
Kvinnherad
chosen
Kvinnherad is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, waterfalls, and proximity to the Hardangerfjord.
-
B.
Krødsherad
Krødsherad is a rural municipality in Buskerud, Norway, known for its scenic landscapes around Lake Krøderen and outdoor recreational opportunities.
-
C.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
D.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
E.
Esteio
Esteio is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its industrial activity and for hosting one of the country’s major agricultural fairs.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef86b8cc81909969098b1766f6b7 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.