Triple

T726199
Position Surface form Disambiguated ID Type / Status
Subject Ľubomír Višňovský E14730 entity
Predicate playedFor P2170 FINISHED
Object HK Dukla Trenčín E69719 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: HK Dukla Trenčín | Statement: [Ľubomír Višňovský, playedFor, HK Dukla Trenčín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK Dukla Trenčín
Context triple: [Ľubomír Višňovský, playedFor, HK Dukla Trenčín]
  • A. HC Dukla Trenčín chosen
    HC Dukla Trenčín is a professional ice hockey club from Trenčín, Slovakia, known for developing numerous NHL players including Zdeno Chára.
  • B. HC Košice
    HC Košice is a professional ice hockey club from Košice, Slovakia, known as one of the country’s most successful and historically significant teams.
  • C. HC Slovan Bratislava
    HC Slovan Bratislava is a prominent professional ice hockey club from Bratislava, Slovakia, known as one of the country’s most successful and historically significant teams.
  • D. 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).
  • E. Cracovia
    Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e3c22f08190b71734d9605a92f6 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.