Triple

T21840950
Position Surface form Disambiguated ID Type / Status
Subject Voksenkollen E539250 entity
Predicate partOf P40 FINISHED
Object Nordmarka forest region 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: Nordmarka forest region | Statement: [Voksenkollen, partOf, Nordmarka forest region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordmarka forest region
Context triple: [Voksenkollen, partOf, Nordmarka forest region]
  • A. Nordmarka chosen
    Nordmarka is a large forested recreational area north of Oslo, Norway, popular for hiking, skiing, and outdoor activities.
  • B. Kvamskogen
    Kvamskogen is a popular mountainous recreational area in western Norway known for its ski resorts, cabins, and outdoor activities.
  • C. Midtskogen, Norway
    Midtskogen, Norway is a small locality best known as the site of the World War II Battle of Midtskogen, where Norwegian forces resisted a German attempt to capture King Haakon VII and the government.
  • D. Kolmården forest region
    Kolmården forest region is a large, historically significant woodland and hilly landscape in eastern Sweden known for its natural beauty and outdoor recreation.
  • E. Hälsingland forests
    Hälsingland forests are a vast, sparsely populated woodland region in central Sweden known for their boreal landscapes, wildlife, and traditional rural settlements.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.