Triple
T14379572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solør |
E356564
|
entity |
| Predicate | borderedByRegion |
P224
|
FINISHED |
| Object |
Finnskogen
Finnskogen is a forested region along the Norwegian-Swedish border known for its dense woodlands and historic Finnish immigrant culture.
|
E1096070
|
NE FINISHED |
How this triple was built (4 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: Finnskogen | Statement: [Solør, borderedByRegion, Finnskogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finnskogen Context triple: [Solør, borderedByRegion, Finnskogen]
-
A.
Hälsingland forests
Hälsingland forests are a vast, sparsely populated woodland region in central Sweden known for their boreal landscapes, wildlife, and traditional rural settlements.
-
B.
Skog
Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
-
C.
Taunus forests
Taunus forests are extensive, hilly woodlands in the Taunus mountain range of Hesse, Germany, known for their mixed forests, hiking trails, and spa-town surroundings.
-
D.
Fältskog
Fältskog is a Swedish surname most famously borne by Agnetha Fältskog, the singer from the pop group ABBA.
-
E.
Kurpie Forest
Kurpie Forest is a historic and sparsely populated forest region in northeastern Poland, known for its distinctive folk culture, traditional wooden architecture, and rich natural landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Finnskogen Triple: [Solør, borderedByRegion, Finnskogen]
Generated description
Finnskogen is a forested region along the Norwegian-Swedish border known for its dense woodlands and historic Finnish immigrant culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Finnskogen Target entity description: Finnskogen is a forested region along the Norwegian-Swedish border known for its dense woodlands and historic Finnish immigrant culture.
-
A.
Hälsingland forests
Hälsingland forests are a vast, sparsely populated woodland region in central Sweden known for their boreal landscapes, wildlife, and traditional rural settlements.
-
B.
Skog
Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
-
C.
Taunus forests
Taunus forests are extensive, hilly woodlands in the Taunus mountain range of Hesse, Germany, known for their mixed forests, hiking trails, and spa-town surroundings.
-
D.
Fältskog
Fältskog is a Swedish surname most famously borne by Agnetha Fältskog, the singer from the pop group ABBA.
-
E.
Kurpie Forest
Kurpie Forest is a historic and sparsely populated forest region in northeastern Poland, known for its distinctive folk culture, traditional wooden architecture, and rich natural landscapes.
- F. None of above. chosen
Provenance (5 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.