Triple

T16019234
Position Surface form Disambiguated ID Type / Status
Subject Stadion Górnika Łęczna E388554 entity
Predicate hasTenant P3277 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: [Stadion Górnika Łęczna, hasTenant, Górnik Łęczna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Górnik Łęczna
Context triple: [Stadion Górnika Łęczna, hasTenant, 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb867ae88190945af88247d4c80b completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:55 a.m.