Triple

T17019890
Position Surface form Disambiguated ID Type / Status
Subject Jonas Kazlauskas E412920 entity
Predicate coached P2169 FINISHED
Object Asseco Prokom Gdynia E1134130 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: Asseco Prokom Gdynia | Statement: [Jonas Kazlauskas, coached, Asseco Prokom Gdynia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asseco Prokom Gdynia
Context triple: [Jonas Kazlauskas, coached, Asseco Prokom Gdynia]
  • A. Asseco Gdynia chosen
    Asseco Gdynia is a Polish professional basketball club based in Gdynia, known for its success in domestic competitions and participation in European tournaments.
  • B. Asiatech
    Asiatech was a short-lived Formula One engine manufacturer that supplied customer engines in the early 2000s after acquiring Peugeot’s F1 engine program.
  • C. Skanska Poland
    Skanska Poland is the Polish branch of the global construction and development company Skanska, responsible for major infrastructure and building projects across Poland.
  • D. Sogeti
    Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
  • E. UPC Polska
    UPC Polska is a leading Polish telecommunications company that provides broadband internet, digital television, and telephone services to households and businesses across Poland.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.