Triple

T12190986
Position Surface form Disambiguated ID Type / Status
Subject FC Honka E290459 entity
Predicate hasSection P35 FINISHED
Object FC Honka women 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 women | Statement: [FC Honka, hasSection, FC Honka women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Honka women
Context triple: [FC Honka, hasSection, FC Honka women]
  • 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 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.
  • 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. 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.
  • E. Joensuu Wolves
    Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b240f88190af916054869c3b95 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.