Triple

T19460264
Position Surface form Disambiguated ID Type / Status
Subject Korea Baseball Organization E486847 entity
Predicate hasTeam P330 FINISHED
Object Doosan Bears 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: Doosan Bears | Statement: [Korea Baseball Organization, hasTeam, Doosan Bears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doosan Bears
Context triple: [Korea Baseball Organization, hasTeam, Doosan Bears]
  • A. Doosan Bears chosen
    The Doosan Bears are a professional baseball team based in Seoul, South Korea, competing in the KBO League and known as one of its most successful and popular franchises.
  • B. Lotte Giants
    Lotte Giants are a professional baseball team based in Busan, South Korea, competing in the KBO League and known for their passionate fanbase and long history.
  • C. Kia Tigers
    The Kia Tigers are a professional baseball team in South Korea’s KBO League, historically one of its most successful and popular franchises.
  • D. Chiba Lotte Marines
    The Chiba Lotte Marines are a professional Japanese baseball team based in Chiba City that competes in the Pacific League.
  • E. Samsung Lions
    The Samsung Lions are a professional baseball team based in Daegu, South Korea, competing in the Korea Baseball Organization (KBO) League.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c7f4388190be8c207c94ba8889 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.