Triple

T9941862
Position Surface form Disambiguated ID Type / Status
Subject Opava E194100 entity
Predicate hasSportsClub P346 FINISHED
Object SFC Opava E681110 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: SFC Opava | Statement: [Opava, hasSportsClub, SFC Opava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFC Opava
Context triple: [Opava, hasSportsClub, SFC Opava]
  • A. SFC Opava chosen
    SFC Opava is a Czech professional football club known for its intense regional rivalry with FC Baník Ostrava and its passionate fan base.
  • B. MFK Karviná
    MFK Karviná is a professional football club from Karviná in the Czech Republic that competes in the country’s league system and is known for its regional rivalry with FC Baník Ostrava.
  • C. HC Olomouc
    HC Olomouc is a professional ice hockey club from Olomouc, Czech Republic, known for competing in the country’s top-tier league and developing local talent.
  • D. SK Slavia Prague
    SK Slavia Prague is one of the most successful and historic football clubs in the Czech Republic, based in Prague and competing in the country’s top division.
  • E. Dukla Prague
    Dukla Prague is a historic Czech football club from Prague known for its success in the mid-20th century and for producing notable players such as Pavel Nedvěd.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22911a9ac81909caa2afb30e4860b completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:44 p.m.