Triple

T15124386
Position Surface form Disambiguated ID Type / Status
Subject Myresjöhus Arena E361248 entity
Predicate tenants P3277 FINISHED
Object Växjö DFF E1139342 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: Växjö DFF | Statement: [Myresjöhus Arena, tenants, Växjö DFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Växjö DFF
Context triple: [Myresjöhus Arena, tenants, Växjö DFF]
  • A. Växjö DFF chosen
    Växjö DFF is a Swedish women's football club based in Växjö that competes in the country's top tiers of women's football.
  • B. IFK Värnamo
    IFK Värnamo is a Swedish football club from the town of Värnamo, known for competing in the national league system and developing notable players.
  • C. Hammarby IF DFF
    Hammarby IF DFF is a Swedish women's football club based in Stockholm, known for competing in the top tiers of the national league system.
  • D. KIF Örebro DFF
    KIF Örebro DFF is a Swedish women's football club known for competing in the top tiers of national competition and for having been led by renowned coach Pia Sundhage.
  • E. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • 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_69febfe6c9cc8190b15e81092faa8ccf completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.