Triple
T20456528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidskog |
E501802
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Vestmarka |
—
|
NE NERFINISHED |
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: Vestmarka | Statement: [Eidskog, containsSettlement, Vestmarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vestmarka Context triple: [Eidskog, containsSettlement, Vestmarka]
-
A.
Hälsingland
Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
-
B.
Närke
Närke is a historical province in central Sweden known for its Central Swedish dialects and its location around the city of Örebro.
-
C.
Härjedalen
Härjedalen is a sparsely populated historical province in central Sweden known for its mountainous landscapes, wilderness areas, and outdoor recreation.
-
D.
Hadeland
chosen
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
-
E.
Søndermarken
Søndermarken is a historic public park in Copenhagen, Denmark, known for its wooded landscapes, walking paths, and proximity to Frederiksberg Gardens and the Copenhagen Zoo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.