Triple

T16944171
Position Surface form Disambiguated ID Type / Status
Subject Łęczna E411025 entity
Predicate hasLocalFootballClub P36408 FINISHED
Object Górnik Łęczna E89733 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: Górnik Łęczna | Statement: [Łęczna, hasLocalFootballClub, Górnik Łęczna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Górnik Łęczna
Context triple: [Łęczna, hasLocalFootballClub, Górnik Łęczna]
  • A. Górnik Łęczna chosen
    Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
  • B. Górnik Zabrze
    Górnik Zabrze is a historic Polish football club from Zabrze, known as one of the country’s most successful and traditional teams.
  • C. Zagłębie Lubin
    Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
  • D. Zagłębie Dąbrowskie
    Zagłębie Dąbrowskie is a historic industrial and mining area in southern Poland, traditionally associated with coal mining and heavy industry and forming part of the broader Silesian urban region.
  • E. Ruda Śląska
    Ruda Śląska is an industrial city in southern Poland’s Silesian Voivodeship, known for its coal mining heritage and role within the Upper Silesian urban area.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb08da88190b07c32652bbc1534 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfea3bc88190acaa013169d607c5 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.