Triple

T9536634
Position Surface form Disambiguated ID Type / Status
Subject Jagiellonia Białystok E230033 entity
Predicate shortName P43 FINISHED
Object Jagiellonia E230033 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: Jagiellonia | Statement: [Jagiellonia Białystok, shortName, Jagiellonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jagiellonia
Context triple: [Jagiellonia Białystok, shortName, Jagiellonia]
  • A. Jagiellonia Białystok chosen
    Jagiellonia Białystok is a professional Polish football club based in Białystok that competes in the country’s top league, the Ekstraklasa.
  • B. 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.
  • C. 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.
  • D. Lech Poznań
    Lech Poznań is a prominent Polish professional football club based in Poznań, known for its passionate fan base and multiple national championships.
  • E. ŁKS Łódź
    ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ce884c8190a8b3c2dc7c73c2c9 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4f1fc08190a1ad3d862717eef3 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.