Triple

T23080641
Position Surface form Disambiguated ID Type / Status
Subject Nøklevann E575458 entity
Predicate locatedNear P294 FINISHED
Object Bøler 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: Bøler | Statement: [Nøklevann, locatedNear, Bøler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bøler
Context triple: [Nøklevann, locatedNear, Bøler]
  • A. Bøler chosen
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • B. Bolærne
    Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
  • C. Bøur
    Bøur is a small, picturesque village on the Faroe Islands known for its traditional turf-roofed houses and scenic views of nearby islets and sea cliffs.
  • D. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • E. Mellom Bolæren
    Mellom Bolæren is a small Norwegian island in the Oslofjord known for its scenic coastal landscape, outdoor recreation opportunities, and remnants of World War II fortifications.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.