Triple

T16092354
Position Surface form Disambiguated ID Type / Status
Subject Bydgoszcz E390387 entity
Predicate hasSportsClub P346 FINISHED
Object Polonia Bydgoszcz E793816 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: Polonia Bydgoszcz | Statement: [Bydgoszcz, hasSportsClub, Polonia Bydgoszcz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polonia Bydgoszcz
Context triple: [Bydgoszcz, hasSportsClub, Polonia Bydgoszcz]
  • A. Polonia Bydgoszcz chosen
    Polonia Bydgoszcz is a Polish motorcycle speedway club from Bydgoszcz, known as one of the country’s traditional and historically significant teams.
  • B. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • C. Polonia Bytom
    Polonia Bytom is a historic Polish football club from Bytom, known for its successes in the mid-20th century and its intense local rivalries in Upper Silesia.
  • D. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • E. Bielsko-Biała
    Bielsko-Biała is a city in southern Poland at the foot of the Beskid Mountains, known as a regional industrial and cultural center formed from the historic towns of Bielsko and Biała.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9550f0819092660f6c4b0d708e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.