Triple

T22820584
Position Surface form Disambiguated ID Type / Status
Subject Årvoll E565216 entity
Predicate adjacentTo P224 FINISHED
Object Lillomarka forest
Lillomarka forest is a popular recreational woodland area in Oslo, Norway, known for its hiking, skiing, and outdoor activities.
E1555031 NE FINISHED

How this triple was built (4 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: Lillomarka forest | Statement: [Årvoll, adjacentTo, Lillomarka forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillomarka forest
Context triple: [Årvoll, adjacentTo, Lillomarka forest]
  • A. Lappwald forest
    Lappwald forest is a wooded hill range in Lower Saxony, Germany, known for its mixed woodlands, hiking trails, and proximity to the town of Helmstedt.
  • B. Hälsingland forests
    Hälsingland forests are a vast, sparsely populated woodland region in central Sweden known for their boreal landscapes, wildlife, and traditional rural settlements.
  • C. Taunus forests
    Taunus forests are extensive, hilly woodlands in the Taunus mountain range of Hesse, Germany, known for their mixed forests, hiking trails, and spa-town surroundings.
  • D. Leirskogen
    Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
  • E. Finnskogen
    Finnskogen is a forested region along the Norwegian-Swedish border known for its dense woodlands and historic Finnish immigrant culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lillomarka forest
Triple: [Årvoll, adjacentTo, Lillomarka forest]
Generated description
Lillomarka forest is a popular recreational woodland area in Oslo, Norway, known for its hiking, skiing, and outdoor activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lillomarka forest
Target entity description: Lillomarka forest is a popular recreational woodland area in Oslo, Norway, known for its hiking, skiing, and outdoor activities.
  • A. Lappwald forest
    Lappwald forest is a wooded hill range in Lower Saxony, Germany, known for its mixed woodlands, hiking trails, and proximity to the town of Helmstedt.
  • B. Hälsingland forests
    Hälsingland forests are a vast, sparsely populated woodland region in central Sweden known for their boreal landscapes, wildlife, and traditional rural settlements.
  • C. Taunus forests
    Taunus forests are extensive, hilly woodlands in the Taunus mountain range of Hesse, Germany, known for their mixed forests, hiking trails, and spa-town surroundings.
  • D. Leirskogen
    Leirskogen is a small rural village located in the municipality of Sør-Aurdal in Innlandet county, Norway.
  • E. Finnskogen
    Finnskogen is a forested region along the Norwegian-Swedish border known for its dense woodlands and historic Finnish immigrant culture.
  • F. None of above. chosen

Provenance (5 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcffdd88190a5f9c780c71b5053 completed April 29, 2026, 3:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea869348190b4c8edc9f8b5dbc3 completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0b9f9c46988190baeb6f4e1ec2a419 completed May 18, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba068def08190b22058cf5bd76b4f completed May 18, 2026, 11:27 p.m.
Created at: April 17, 2026, 3:33 p.m.