Triple

T16365699
Position Surface form Disambiguated ID Type / Status
Subject Norway national speed skating team E397430 entity
Predicate hasAthlete P17934 FINISHED
Object Håvard Bøkko E1204013 NE FINISHED

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: Håvard Bøkko | Statement: [Norway national speed skating team, hasAthlete, Håvard Bøkko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Håvard Bøkko
Context triple: [Norway national speed skating team, hasAthlete, Håvard Bøkko]
  • A. Håvard Bøkko chosen
    Håvard Bøkko is a Norwegian long-track speed skater known for his world championship titles and Olympic medals in allround and distance events.
  • B. Atle Vårvik
    Atle Vårvik is a Norwegian social entrepreneur and former speed skater best known as the founder of the youth character-building organization MOT.
  • C. Torbjørn Sikkeland
    Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
  • D. Jørgen Løvland
    Jørgen Løvland was a Norwegian statesman and educator who served as Prime Minister and held several key ministerial posts during the early years of Norway’s independence.
  • E. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3c915c81909e1757fc31921876 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecdffac81908ca03a88974203f9 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:08 a.m.