Triple

T23144924
Position Surface form Disambiguated ID Type / Status
Subject Andrej Šustr E577560 entity
Predicate memberOfSportsTeam P330 FINISHED
Object HC Plzeň 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: HC Plzeň | Statement: [Andrej Šustr, memberOfSportsTeam, HC Plzeň]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC Plzeň
Context triple: [Andrej Šustr, memberOfSportsTeam, 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 České Budějovice
    HC České Budějovice is a professional ice hockey club from České Budějovice, Czech Republic, known for its long-standing presence in the country’s top-tier competitions.
  • E. 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.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecd40108190aaad7faf754b7936 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4:01 p.m.