Triple

T20708703
Position Surface form Disambiguated ID Type / Status
Subject John Arne Riise E508974 entity
Predicate playedFor P2170 FINISHED
Object Aalesunds FK 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: Aalesunds FK | Statement: [John Arne Riise, playedFor, Aalesunds FK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aalesunds FK
Context triple: [John Arne Riise, playedFor, Aalesunds FK]
  • A. Aalesunds FK chosen
    Aalesunds FK is a Norwegian professional football club from Ålesund, best known for competing in the Eliteserien and for its intense local rivalry with Molde FK.
  • B. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
  • C. Viking FK
    Viking FK is a Norwegian professional football club based in Stavanger that competes in the country’s top division, the Eliteserien.
  • D. Sollentuna FK
    Sollentuna FK is a Swedish football club based in Sollentuna that competes in the national league system.
  • E. Malmö FF
    Malmö FF is one of Sweden’s most successful and popular football clubs, based in Malmö and known for its numerous national titles and regular participation in European competitions.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1961090819090daf7254f90a176 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.