Triple
T22611632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lørenskog municipality |
E566718
|
entity |
| Predicate | hasForestArea |
P11107
|
FINISHED |
| Object | Østmarka |
—
|
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: Østmarka | Statement: [Lørenskog municipality, hasForestArea, Østmarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østmarka Context triple: [Lørenskog municipality, hasForestArea, Østmarka]
-
A.
Østmarka
chosen
Østmarka is a forested recreational area east of Oslo, Norway, known for its lakes, hiking trails, and outdoor activities.
-
B.
Vestmarka
Vestmarka is a forested outdoor recreation area near Oslo, Norway, known for its hiking and skiing trails as part of the larger Oslomarka wilderness region.
-
C.
Kongsvingerregionen
Kongsvingerregionen is a tourism area in southeastern Norway centered around the historic town of Kongsvinger and its surrounding countryside.
-
D.
Nordmarka
Nordmarka is a large forested recreational area north of Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
E.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167eb08c88190bf2380fa8575d2da |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.