Triple

T19603518
Position Surface form Disambiguated ID Type / Status
Subject Trnava E470542 entity
Predicate sportsTeam P330 FINISHED
Object FC Spartak Trnava NE NERFINISHED

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: FC Spartak Trnava | Statement: [Trnava, sportsTeam, FC Spartak Trnava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Spartak Trnava
Context triple: [Trnava, sportsTeam, FC Spartak Trnava]
  • A. FC Spartak Trnava chosen
    FC Spartak Trnava is a prominent Slovak football club known for its rich history, passionate fan base, and multiple national championship titles.
  • B. HC Dukla Trenčín
    HC Dukla Trenčín is a professional ice hockey club from Trenčín, Slovakia, known for developing numerous NHL players including Zdeno Chára.
  • C. FK Dukla Banská Bystrica
    FK Dukla Banská Bystrica is a Slovak professional football club based in the city of Banská Bystrica, known for competing in the country’s top leagues.
  • D. 1. FC Tatran Prešov
    1. FC Tatran Prešov is a historic Slovak football club from the city of Prešov, known as one of the oldest and most traditional teams in Slovak football.
  • E. FC Košice
    FC Košice is a Slovak professional football club based in the city of Košice, known for competing in the country’s top leagues and representing the region in national competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64081af6c8190868b73b07c874cd5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.