Triple

T12459325
Position Surface form Disambiguated ID Type / Status
Subject Hany Mukhtar E297746 entity
Predicate seniorClub P28388 FINISHED
Object Brøndby IF E548723 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: Brøndby IF | Statement: [Hany Mukhtar, seniorClub, Brøndby IF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brøndby IF
Context triple: [Hany Mukhtar, seniorClub, Brøndby IF]
  • A. Brøndby chosen
    Brøndby is a suburban municipality in the western part of the Copenhagen metropolitan area in Denmark, known for its residential districts and the football club Brøndby IF.
  • B. Lyngby BK
    Lyngby BK is a Danish professional football club based in Kongens Lyngby that competes in the country’s top leagues and has developed and hosted numerous international players.
  • C. FC København
    FC København, commonly known as FC Copenhagen, is one of Denmark’s most successful and popular football clubs, based in Copenhagen and a regular competitor in European competitions.
  • D. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • E. Odense Boldklub
    Odense Boldklub is a Danish professional football club based in the city of Odense, known for competing in the top tiers of Danish football.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556aae84819083e4988ec6f21471 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.