Triple

T13815408
Position Surface form Disambiguated ID Type / Status
Subject Kärpät Oulu E332001 entity
Predicate governingBody P46 FINISHED
Object Kärpät ry 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 ry | Statement: [Kärpät Oulu, governingBody, Kärpät ry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärpät ry
Context triple: [Kärpät Oulu, governingBody, Kärpät ry]
  • 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. Porin Ässät
    Porin Ässät is a Finnish professional ice hockey club based in the city of Pori, competing in the country’s top-tier Liiga.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31a91608190a80a69be38ac7f71 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:12 p.m.