Triple

T3216270
Position Surface form Disambiguated ID Type / Status
Subject Jari Kurri E67401 entity
Predicate playedFor P2170 FINISHED
Object Kärpät E332001 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: Kärpät | Statement: [Jari Kurri, playedFor, Kärpät]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärpät
Context triple: [Jari Kurri, playedFor, Kärpät]
  • A. Kärpät Oulu chosen
    Kärpät Oulu is a prominent Finnish professional ice hockey club from Oulu, known as one of the most successful teams in the Liiga.
  • B. Jokerit
    Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
  • C. HIFK Helsinki
    HIFK Helsinki is a prominent professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and traditional teams in the Liiga.
  • D. FC Honka
    FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
  • E. Frölunda HC
    Frölunda HC is a professional ice hockey club from Gothenburg, Sweden, competing in the top-tier Swedish Hockey League and known for its strong fan base and successful history.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab096b588190b22e41a76263ae92 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a63fb6081909a7a15cf8a03e52e completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:07 p.m.