Triple

T23276576
Position Surface form Disambiguated ID Type / Status
Subject Vegard Forren E588735 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Molde FK 2 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: Molde FK 2 | Statement: [Vegard Forren, memberOfSportsTeam, Molde FK 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molde FK 2
Context triple: [Vegard Forren, memberOfSportsTeam, Molde FK 2]
  • A. Molde FK chosen
    Molde FK is a Norwegian professional football club based in Molde, known as one of the country’s top teams and a key stepping stone in Erling Haaland’s early career.
  • B. Moss FK
    Moss FK is a Norwegian football club based in the town of Moss, known for competing in the national league system and representing the local community in association football.
  • C. Fredrikstad FK
    Fredrikstad FK is a Norwegian professional football club based in the city of Fredrikstad, known for its historic success in the national league and cup competitions.
  • D. Viking FK
    Viking FK is a Norwegian professional football club based in Stavanger that competes in the country’s top division, the Eliteserien.
  • E. Bryne FK
    Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19578adf48190bdb129a55f86172c completed April 29, 2026, 5:22 a.m.
Created at: April 17, 2026, 4:48 p.m.