Triple

T16984438
Position Surface form Disambiguated ID Type / Status
Subject Brzeg E412025 entity
Predicate hasSportsClub P346 FINISHED
Object Stal Brzeg 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: Stal Brzeg | Statement: [Brzeg, hasSportsClub, Stal Brzeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stal Brzeg
Context triple: [Brzeg, hasSportsClub, Stal Brzeg]
  • A. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • B. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • C. Brzeg chosen
    Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • D. Samborzec
    Samborzec is a village and the seat of a rural administrative district in southeastern Poland’s Sandomierz County.
  • E. Sułów
    Sułów is a village in eastern Poland located within Zamość County in the Lublin Voivodeship.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18a0bf881908c449f499eb86495 completed April 18, 2026, 6:46 p.m.
Created at: April 10, 2026, 5:32 a.m.