Triple

T13352946
Position Surface form Disambiguated ID Type / Status
Subject Malmö FF E318113 entity
Predicate rival P437 FINISHED
Object FC Copenhagen E965134 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: FC Copenhagen | Statement: [Malmö FF, rival, FC Copenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Copenhagen
Context triple: [Malmö FF, rival, FC Copenhagen]
  • A. FC København chosen
    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.
  • B. FC Nordsjælland
    FC Nordsjælland is a Danish professional football club known for its strong youth academy and attacking style of play in the Danish Superliga.
  • C. FC Midtjylland
    FC Midtjylland is a Danish professional football club known for its data-driven approach to player recruitment and performance, competing in the top tier of Danish football.
  • D. 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.
  • E. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f49e5548190b14d09daea628e6b completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.