Triple

T6859414
Position Surface form Disambiguated ID Type / Status
Subject John Bryant E158233 entity
Predicate league P888 FINISHED
Object Basketball Bundesliga E374931 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: Basketball Bundesliga | Statement: [John Bryant, league, Basketball Bundesliga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basketball Bundesliga
Context triple: [John Bryant, league, Basketball Bundesliga]
  • A. Basketball Bundesliga chosen
    Basketball Bundesliga is the top-tier professional basketball league in Germany, featuring the country’s leading clubs in national competition.
  • B. EuroLeague
    EuroLeague is the premier professional men's basketball club competition in Europe, featuring top teams from various national leagues.
  • C. Baltic Basketball League
    The Baltic Basketball League was a regional professional basketball competition featuring top clubs from Baltic countries such as Lithuania, Latvia, and Estonia.
  • D. B3 League
    The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
  • E. EuroCup Basketball
    EuroCup Basketball is a European professional club basketball competition organized by Euroleague Basketball, considered the second-tier tournament below the EuroLeague.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe79af081909baacbfd4d5e8f24 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:21 p.m.