Triple

T16581790
Position Surface form Disambiguated ID Type / Status
Subject Edi Andradina E402850 entity
Predicate memberOfSportsTeam P330 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: [Edi Andradina, memberOfSportsTeam, Pogoń Szczecin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pogoń Szczecin
Context triple: [Edi Andradina, memberOfSportsTeam, 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. MKP Pogoń Siedlce
    MKP Pogoń Siedlce is a Polish football club based in the city of Siedlce that competes in the national league system.
  • E. 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.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35998371c8190936dcdaab5ca7e21 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091891c5081908f37598a17417c94 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:16 a.m.