Triple

T13815360
Position Surface form Disambiguated ID Type / Status
Subject Idrottsföreningen Kamraterna i Helsingfors E332000 entity
Predicate shortName P43 FINISHED
Object HIFK E961487 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: HIFK | Statement: [Idrottsföreningen Kamraterna i Helsingfors, shortName, HIFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HIFK
Context triple: [Idrottsföreningen Kamraterna i Helsingfors, shortName, HIFK]
  • A. 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.
  • B. HIFK Fotboll chosen
    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. 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.
  • D. FC Honka
    FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
  • E. Jokerit
    Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
  • 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_69f7c70454a8819097b5e5091f84be33 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:12 p.m.