Triple

T13263732
Position Surface form Disambiguated ID Type / Status
Subject Roy Tarpley E315862 entity
Predicate playedInLeague P2209 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: [Roy Tarpley, playedInLeague, EuroLeague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroLeague
Context triple: [Roy Tarpley, playedInLeague, 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. Basketball Champions League
    The Basketball Champions League is a European professional club basketball competition organized by FIBA, featuring teams from various national leagues across the continent.
  • E. 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.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305e1d70819096ff9784e9fafde9 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:25 p.m.