Triple
T22015305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandal, Norway |
E543691
|
entity |
| Predicate | hasRecreationalArea |
P5383
|
FINISHED |
| Object | Furulunden forest and beach area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Furulunden forest and beach area | Statement: [Mandal, Norway, hasRecreationalArea, Furulunden forest and beach area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furulunden forest and beach area Context triple: [Mandal, Norway, hasRecreationalArea, Furulunden forest and beach area]
-
A.
Gribskov forest area
Gribskov forest area is one of Denmark’s largest and oldest woodland regions, known for its diverse natural habitats, historic landscapes, and extensive recreational trails.
-
B.
Tiveden forest
Tiveden forest is a rugged, sparsely populated wilderness area in south-central Sweden known for its dense old-growth woods, rocky terrain, and popular hiking trails.
-
C.
Tyresta forest area
Tyresta forest area is a protected natural region in Sweden known for its old-growth forests, rich biodiversity, and extensive hiking trails.
-
D.
Liss Forest
Liss Forest is a small village in Hampshire, England, situated near the larger village of Liss and known for its proximity to heathland and woodland areas.
-
E.
Randstad coastal recreation area
The Randstad coastal recreation area is a popular Dutch seaside region in the densely populated Randstad conurbation, known for its beaches, dunes, and outdoor leisure opportunities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Furulunden forest and beach area Target entity description: Furulunden forest and beach area is a coastal nature park in Mandal, Norway, known for its pine forests, walking trails, and sandy beaches along the North Sea.
-
A.
Gribskov forest area
Gribskov forest area is one of Denmark’s largest and oldest woodland regions, known for its diverse natural habitats, historic landscapes, and extensive recreational trails.
-
B.
Tiveden forest
Tiveden forest is a rugged, sparsely populated wilderness area in south-central Sweden known for its dense old-growth woods, rocky terrain, and popular hiking trails.
-
C.
Tyresta forest area
Tyresta forest area is a protected natural region in Sweden known for its old-growth forests, rich biodiversity, and extensive hiking trails.
-
D.
Liss Forest
Liss Forest is a small village in Hampshire, England, situated near the larger village of Liss and known for its proximity to heathland and woodland areas.
-
E.
Randstad coastal recreation area
The Randstad coastal recreation area is a popular Dutch seaside region in the densely populated Randstad conurbation, known for its beaches, dunes, and outdoor leisure opportunities.
- F. None of above. chosen
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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a774548190bcd98dc28f2d2c5f |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.