Triple

T3774000
Position Surface form Disambiguated ID Type / Status
Subject Ekstraklasa E83262 entity
Predicate hasClub P28155 FINISHED
Object Pogoń Szczecin E84851 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: Pogoń Szczecin | Statement: [Ekstraklasa, hasClub, Pogoń Szczecin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pogoń Szczecin
Context triple: [Ekstraklasa, hasClub, Pogoń Szczecin]
  • A. Pogoń Szczecin chosen
    Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
  • B. Lech Poznań
    Lech Poznań is a prominent Polish professional football club based in Poznań, known for its passionate fan base and multiple national championships.
  • C. Jagiellonia Białystok
    Jagiellonia Białystok is a professional Polish football club based in Białystok that competes in the country’s top league, the Ekstraklasa.
  • D. Legia Warsaw
    Legia Warsaw is a Polish professional football club from Warsaw, renowned as one of the country’s most successful and historically significant teams.
  • E. MKS Cracovia
    MKS Cracovia is a historic Polish multi-sport club from Kraków, best known for its professional football team competing in the country’s top leagues.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc594c50819099ab5ac1b82f61a6 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503ea77708190ae55cd1892735b22 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:36 p.m.