Triple

T13799585
Position Surface form Disambiguated ID Type / Status
Subject Frölunda–Färjestad rivalry E331603 entity
Predicate team1HomeArena P61399 FINISHED
Object Scandinavium E10970 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: Scandinavium | Statement: [Frölunda–Färjestad rivalry, team1HomeArena, Scandinavium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scandinavium
Context triple: [Frölunda–Färjestad rivalry, team1HomeArena, Scandinavium]
  • A. Scandinavium chosen
    Scandinavium is a major indoor arena in Gothenburg, Sweden, best known for hosting top-level ice hockey, concerts, and international sporting events.
  • B. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • C. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • D. Skaland
    Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
  • E. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.