Triple

T8827141
Position Surface form Disambiguated ID Type / Status
Subject Czech Extraliga E210043 entity
Predicate hasTeam P330 FINISHED
Object HC Plzeň E107836 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: HC Plzeň | Statement: [Czech Extraliga, hasTeam, HC Plzeň]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC Plzeň
Context triple: [Czech Extraliga, hasTeam, HC Plzeň]
  • A. HC Škoda Plzeň chosen
    HC Škoda Plzeň is a professional Czech ice hockey club based in Plzeň that competes in the country’s top-tier league.
  • B. HC Pardubice
    HC Pardubice is a prominent Czech professional ice hockey club based in Pardubice, known for its rich history in the Czech Extraliga and development of elite players.
  • C. HC Lev Praha
    HC Lev Praha was a professional ice hockey club based in Prague, Czech Republic, that competed in the Kontinental Hockey League (KHL).
  • D. HC Zlín
    HC Zlín is a professional ice hockey club from Zlín, Czech Republic, known for competing in the country’s top leagues and developing notable Czech players.
  • E. HC Sparta Praha
    HC Sparta Praha is a prominent professional ice hockey club based in Prague, Czech Republic, competing in the country’s top-tier league and known for its rich history and multiple championship titles.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6034e8dc819099116d772e87569a completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf895a766c81908f41e369afb05023 completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:46 p.m.