Triple

T23198955
Position Surface form Disambiguated ID Type / Status
Subject Shunsuke Nakamura E579953 entity
Predicate leagueParticipation P2209 FINISHED
Object J1 League 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: J1 League | Statement: [Shunsuke Nakamura, leagueParticipation, J1 League]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J1 League
Context triple: [Shunsuke Nakamura, leagueParticipation, J1 League]
  • A. J1 League chosen
    The J1 League is Japan's top-tier professional football (soccer) league, featuring the country's strongest clubs in its premier domestic competition.
  • B. J3 League
    The J3 League is the third tier of professional football in Japan, sitting below the J1 and J2 Leagues in the national league system.
  • C. J2 League
    The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
  • D. J.League
    The J.League is Japan's professional football (soccer) league system, featuring the country's top clubs and serving as the premier competition in Japanese domestic football.
  • E. Japan Top League
    Japan Top League is Japan's premier professional rugby union competition featuring top domestic and international players.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907835448190aa4fc234d15527c3 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.