Triple

T20403637
Position Surface form Disambiguated ID Type / Status
Subject Bergianska trädgården E500403 entity
Predicate locatedOn P40 FINISHED
Object Norra Djurgården NE NERFINISHED

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: Norra Djurgården | Statement: [Bergianska trädgården, locatedOn, Norra Djurgården]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norra Djurgården
Context triple: [Bergianska trädgården, locatedOn, Norra Djurgården]
  • A. Djurgården chosen
    Djurgården is a central Stockholm island known for its parks, museums, and major attractions like the Vasa Museum and Skansen.
  • B. Djurgårdens IF
    Djurgårdens IF is a prominent Swedish sports club from Stockholm, best known for its successful ice hockey and football teams and large, passionate fan base.
  • C. IFK Göteborg
    IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
  • D. Hammarby IF
    Hammarby IF is a Swedish sports club from Stockholm best known for its passionate fan base and prominent football team competing in the country’s top divisions.
  • E. Södertälje SK
    Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799080cc819096dc31f41d1d7b49 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.