Triple

T21545413
Position Surface form Disambiguated ID Type / Status
Subject Oslomarka E531610 entity
Predicate hasPart P35 FINISHED
Object Bærumsmarka 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: Bærumsmarka | Statement: [Oslomarka, hasPart, Bærumsmarka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bærumsmarka
Context triple: [Oslomarka, hasPart, Bærumsmarka]
  • A. Bærumsmarka chosen
    Bærumsmarka is a forested recreational area in Bærum, Norway, known for its hiking, skiing, and outdoor activities near Oslo.
  • B. Haugalandet
    Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
  • C. Bremnes
    Bremnes is a town in Vestland county, Norway, known as the main local hub on the island of Bømlo with residential, commercial, and service functions for the surrounding area.
  • D. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • E. Birgland
    Birgland is a small municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
  • 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.