Triple

T12660518
Position Surface form Disambiguated ID Type / Status
Subject Espoo E302409 entity
Predicate hasSportsTeam P330 FINISHED
Object FC Honka E290459 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: FC Honka | Statement: [Espoo, hasSportsTeam, FC Honka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Honka
Context triple: [Espoo, hasSportsTeam, FC Honka]
  • A. FC Honka chosen
    FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
  • B. 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.
  • C. HIFK Fotboll
    HIFK Fotboll is a Finnish professional football club based in Helsinki that competes in the country’s top leagues and is part of the multi-sport club HIFK.
  • D. Ilves
    Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.