Triple

T16473415
Position Surface form Disambiguated ID Type / Status
Subject Young Lions E400124 entity
Predicate nickname P55 FINISHED
Object Nuoret Leijonat E83803 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: Nuoret Leijonat | Statement: [Young Lions, nickname, Nuoret Leijonat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuoret Leijonat
Context triple: [Young Lions, nickname, Nuoret Leijonat]
  • A. Leijonat chosen
    Leijonat is the widely used Finnish nickname for Finland’s men’s national ice hockey team, literally meaning “The Lions.”
  • B. Livsfrisen
    Livsfrisen is a series of thematically connected paintings by Edvard Munch that explore profound human experiences such as love, anxiety, and death.
  • C. Tre Løver
    Tre Løver was a Danish warship that took part in the 1677 Battle of Køge Bay during the Scanian War between Denmark-Norway and Sweden.
  • D. Lapsi
    Lapsi is a traditional North Indian sweet dish made from broken wheat, ghee, and sugar, commonly prepared during festivals and special occasions in regions like Bundelkhand.
  • E. Koka björn
    Koka björn is a novel by Swedish author Mikael Niemi, known for its darkly humorous and suspenseful portrayal of life in the far north of Sweden.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd266c48190991a1484eb2f7bcc completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5d16008190bd874080e86b8a2f completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.