Triple

T16709619
Position Surface form Disambiguated ID Type / Status
Subject HC Zlín E406068 entity
Predicate formerName P65 FINISHED
Object RI Okna Zlín E408793 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: RI Okna Zlín | Statement: [HC Zlín, formerName, RI Okna Zlín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RI Okna Zlín
Context triple: [HC Zlín, formerName, RI Okna Zlín]
  • A. 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.
  • B. PSG Zlín chosen
    PSG Zlín is a Czech professional ice hockey club based in Zlín that competes in the country’s top leagues and has produced several notable players.
  • C. SK Židenice
    SK Židenice was a historic Czech football club from Brno that later became known as FC Zbrojovka Brno.
  • D. Sokol Vítkovice
    Sokol Vítkovice was the historical name of the professional ice hockey club now known as HC Vítkovice Ridera, based in Ostrava, Czech Republic.
  • E. Dukla
    Dukla is a Slovak professional ice hockey club based in Trenčín, known for competing in the country’s top league and developing numerous prominent players.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.