Triple

T6145670
Position Surface form Disambiguated ID Type / Status
Subject KK Partizan E137069 entity
Predicate league P888 FINISHED
Object EuroLeague E272328 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: EuroLeague | Statement: [KK Partizan, league, EuroLeague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroLeague
Context triple: [KK Partizan, league, EuroLeague]
  • A. EuroLeague chosen
    EuroLeague is the premier professional men's basketball club competition in Europe, featuring top teams from various national leagues.
  • B. EuroBasket
    EuroBasket is the premier European men's national basketball championship tournament organized by FIBA Europe.
  • C. EuroCup Basketball
    EuroCup Basketball is a European professional club basketball competition organized by Euroleague Basketball, considered the second-tier tournament below the EuroLeague.
  • D. EuroLeague Women
    EuroLeague Women is the premier professional women’s basketball club competition in Europe, organized by FIBA Europe and featuring top teams from across the continent.
  • E. Lega Basket Serie A
    Lega Basket Serie A is Italy’s top professional basketball league, featuring the country’s premier clubs and serving as a key stage for European and international talent.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdd2dc0819080a4adf0cead3603 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135fe8ae48190bfb20c335c7d32be completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.