Triple

T21048031
Position Surface form Disambiguated ID Type / Status
Subject Anders Behring Breivik E518498 entity
Predicate locationOfEvent P373 FINISHED
Object Utøya 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: Utøya | Statement: [Anders Behring Breivik, locationOfEvent, Utøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utøya
Context triple: [Anders Behring Breivik, locationOfEvent, Utøya]
  • A. Utøya chosen
    Utøya is a small island in Norway best known as the site of the 2011 mass shooting during a youth camp organized by the Labour Party.
  • B. Mosterøy
    Mosterøy is an island in Norway known for its coastal landscape and traditional West Norwegian island community.
  • C. Bjorøy
    Bjorøy is a small Norwegian island known for its coastal landscape and residential community in Vestland county.
  • D. Borkenes
    Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
  • E. Borgøya
    Borgøya is a landscape painting by Norwegian artist Lars Hertervig, known for its atmospheric depiction of coastal scenery.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:34 p.m.