Triple

T20887127
Position Surface form Disambiguated ID Type / Status
Subject Jarkko Immonen E514311 entity
Predicate playedFor P2170 FINISHED
Object JYP Jyväskylä 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: JYP Jyväskylä | Statement: [Jarkko Immonen, playedFor, JYP Jyväskylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JYP Jyväskylä
Context triple: [Jarkko Immonen, playedFor, JYP Jyväskylä]
  • A. JYP Jyväskylä chosen
    JYP Jyväskylä is a professional Finnish ice hockey club based in Jyväskylä that competes in the country’s top-tier Liiga.
  • B. Jyväskylän maalaiskunta
    Jyväskylän maalaiskunta was a former rural municipality in Central Finland that surrounded the city of Jyväskylä before being consolidated into it.
  • C. Joensuu Wolves
    Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
  • D. SJK Seinäjoki
    SJK Seinäjoki is a Finnish professional football club based in the city of Seinäjoki that competes in the country’s top-tier league.
  • E. Vaasan Sport
    Vaasan Sport is a Finnish professional ice hockey club based in the city of Vaasa that competes in the country’s top leagues.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d058d4dc81908398f8c75e30dc77 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.