Triple

T15124305
Position Surface form Disambiguated ID Type / Status
Subject Östers IF E361246 entity
Predicate homeStadium P890 FINISHED
Object Visma Arena E1056559 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: Visma Arena | Statement: [Östers IF, homeStadium, Visma Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visma Arena
Context triple: [Östers IF, homeStadium, Visma Arena]
  • A. Visma Arena chosen
    Visma Arena is a multi-purpose sports stadium in Växjö, Sweden, primarily used for football matches and home to local professional teams.
  • B. Skagerak Arena
    Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
  • C. Kolping Arena
    Kolping Arena is a multi-purpose indoor arena in Kloten, Switzerland, best known as the longtime home venue of the professional ice hockey club EHC Kloten.
  • D. Scandinavium arena
    Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
  • E. Ballerup Super Arena
    Ballerup Super Arena is a large indoor velodrome and multi-purpose sports and events venue located in Ballerup, Denmark.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.