Triple

T1184444
Position Surface form Disambiguated ID Type / Status
Subject Marián Gáborík E25212 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: [Marián Gáborík, playedFor, HK Dukla Trenčín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK Dukla Trenčín
Context triple: [Marián Gáborík, 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. FC Viktoria Plzeň
    FC Viktoria Plzeň is a Czech professional football club known for its multiple national league titles and regular participation in European competitions such as the UEFA Champions League and Europa League.
  • D. FC Hradec Králové
    FC Hradec Králové is a Czech professional football club based in the city of Hradec Králové that competes in the country’s top leagues and national competitions.
  • E. HC Škoda Plzeň
    HC Škoda Plzeň is a professional Czech ice hockey club based in Plzeň that competes in the country’s top-tier league.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd37b4a88190bb71a2d272c5fd1a completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764a5f508190a54c8f01cf0b0d11 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.