Triple

T22778373
Position Surface form Disambiguated ID Type / Status
Subject Stadion Miejski Poznań E563765 entity
Predicate hasTenant P3277 FINISHED
Object Lech Poznań NE NERFINISHED

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: Lech Poznań | Statement: [Stadion Miejski Poznań, hasTenant, Lech Poznań]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lech Poznań
Context triple: [Stadion Miejski Poznań, hasTenant, Lech Poznań]
  • A. Lech Poznań chosen
    Lech Poznań is a prominent Polish professional football club based in Poznań, known for its passionate fan base and multiple national championships.
  • B. Jagiellonia Białystok
    Jagiellonia Białystok is a professional Polish football club based in Białystok that competes in the country’s top league, the Ekstraklasa.
  • C. 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.
  • D. Pogoń Szczecin
    Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
  • 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 (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b631c6881908a6687920923dcf4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.