Triple

T6392889
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Podbrożny E143870 entity
Predicate playedFor P2170 FINISHED
Object Legia Warsaw E387218 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: Legia Warsaw | Statement: [Jerzy Podbrożny, playedFor, Legia Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legia Warsaw
Context triple: [Jerzy Podbrożny, playedFor, Legia Warsaw]
  • A. Legia Warsaw chosen
    Legia Warsaw is a Polish professional football club from Warsaw, renowned as one of the country’s most successful and historically significant teams.
  • 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. 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ba9e04819098713f5bea7ebdbc completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:34 p.m.