Triple

T14756138
Position Surface form Disambiguated ID Type / Status
Subject Tomáš Kopecký E346732 entity
Predicate youthClub P1088 FINISHED
Object HK Dubnica E171656 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 Dubnica | Statement: [Tomáš Kopecký, youthClub, HK Dubnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK Dubnica
Context triple: [Tomáš Kopecký, youthClub, HK Dubnica]
  • A. Dubnica nad Váhom chosen
    Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
  • B. Dukla
    Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
  • C. 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.
  • D. Ďurčanský
    Ďurčanský is a Slovak surname most notably associated with Ferdinand Ďurčanský, a 20th-century Slovak politician and lawyer.
  • E. Skalica
    Skalica is a historic town in western Slovakia known for its well-preserved medieval center, traditional Skalický trdelník pastry, and location near the Czech border.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9e1b8481909abea3daabe91302 completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.