Triple

T22490886
Position Surface form Disambiguated ID Type / Status
Subject Gro Espeseth E556012 entity
Predicate playedFor P2170 FINISHED
Object SK Brann Kvinner 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: SK Brann Kvinner | Statement: [Gro Espeseth, playedFor, SK Brann Kvinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SK Brann Kvinner
Context triple: [Gro Espeseth, playedFor, SK Brann Kvinner]
  • A. SK Brann chosen
    SK Brann is a Norwegian professional football club based in Bergen that competes in the country’s top divisions and has a large, passionate fan base.
  • B. LSK Kvinner FK
    LSK Kvinner FK is a Norwegian women's football club known as one of the country's most successful teams, regularly competing for top honors in the domestic league and cup.
  • C. Røa IL (women)
    Røa IL (women) is a highly successful Norwegian women's football club renowned for its dominance and multiple league titles in the Toppserien.
  • D. Stabæk Fotball
    Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.