Triple

T16595961
Position Surface form Disambiguated ID Type / Status
Subject Kamil Grosicki E403206 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: [Kamil Grosicki, memberOfSportsTeam, Pogoń Szczecin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pogoń Szczecin
Context triple: [Kamil Grosicki, 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d717604819083ed60b865bbd13e completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2bbe9c81909031d79f93faca6a completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:16 a.m.