Triple

T18113345
Position Surface form Disambiguated ID Type / Status
Subject Lunner E433535 entity
Predicate bordersWith P224 FINISHED
Object Nordmarka forest area 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 area | Statement: [Lunner, bordersWith, Nordmarka forest area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordmarka forest area
Context triple: [Lunner, bordersWith, Nordmarka forest area]
  • 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. Leirskogen
    Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
  • E. Trollskogen
    Trollskogen is a coastal nature reserve and windswept pine forest on the island of Öland in Sweden, known for its twisted trees, ancient remains, and scenic hiking trails.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.