Triple

T11966708
Position Surface form Disambiguated ID Type / Status
Subject Tomas Brolin E284807 entity
Predicate memberOfSportsTeam P330 FINISHED
Object GIF Sundsvall E734655 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: GIF Sundsvall | Statement: [Tomas Brolin, memberOfSportsTeam, GIF Sundsvall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GIF Sundsvall
Context triple: [Tomas Brolin, memberOfSportsTeam, GIF Sundsvall]
  • A. GIF Sundsvall chosen
    GIF Sundsvall is a Swedish professional football club based in Sundsvall, known for competing in the country’s top divisions and for its regional rivalry with Östersunds FK.
  • B. Eskilstuna Guif
    Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
  • C. Gröna Lund
    Gröna Lund is a historic amusement park in Stockholm, Sweden, known for its roller coasters, live music concerts, and scenic waterfront location.
  • D. Gavlerinken
    Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
  • E. Filmstaden Sergel
    Filmstaden Sergel is a large, modern multiplex cinema in central Stockholm known for showing mainstream films and hosting major movie premieres.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037adf5881908abe1a4e64a71f20 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.