Triple

T10168522
Position Surface form Disambiguated ID Type / Status
Subject Nymburk E235268 entity
Predicate hasBasketballTeam P346 FINISHED
Object ERA Nymburk E235268 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: ERA Nymburk | Statement: [Nymburk, hasBasketballTeam, ERA Nymburk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERA Nymburk
Context triple: [Nymburk, hasBasketballTeam, ERA Nymburk]
  • A. Rousínov
    Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
  • B. 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.
  • C. Baník
    Baník is a Czech football club from Ostrava known for its passionate fan base and rich history in the country’s top league.
  • D. Sparta Prague
    Sparta Prague is a leading Czech professional football club based in Prague, renowned for its domestic success and development of top players such as Pavel Nedvěd.
  • E. Nymburk chosen
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6f64a48190883aefce58a65ca6 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300ebacb88190850cf2242309b6ba completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.