Triple
T21545414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslomarka |
E531610
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Krokskogen |
—
|
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: Krokskogen | Statement: [Oslomarka, hasPart, Krokskogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krokskogen Context triple: [Oslomarka, hasPart, Krokskogen]
-
A.
Krokskogen
chosen
Krokskogen is a large forested area and popular outdoor recreation region in southeastern Norway, known for its hiking and skiing trails between Oslo and the Ringerike district.
-
B.
Kvamskogen
Kvamskogen is a popular mountainous recreational area in western Norway known for its ski resorts, cabins, and outdoor activities.
-
C.
Gulskogen
Gulskogen is a residential district in Drammen, Norway, known for its historic manor house and surrounding park.
-
D.
Lierskogen
Lierskogen is a village in Lier municipality in Buskerud county, Norway, known for its residential areas and proximity to major transport routes between Drammen and Oslo.
-
E.
Leirskogen
Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.