Triple

T19881546
Position Surface form Disambiguated ID Type / Status
Subject William Nylander E477785 entity
Predicate formerTeam P1168 FINISHED
Object Södertälje SK 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: Södertälje SK | Statement: [William Nylander, formerTeam, Södertälje SK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Södertälje SK
Context triple: [William Nylander, formerTeam, Södertälje SK]
  • A. Södertälje SK chosen
    Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
  • B. Södertälje FK
    Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
  • C. Örnsköldsviks SK
    Örnsköldsviks SK is a Swedish sports club based in Örnsköldsvik, known for organizing and promoting local athletic activities and teams.
  • D. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • E. Västerås SK Fotboll
    Västerås SK Fotboll is a Swedish football club based in Västerås that competes in the national league system and represents the city in professional soccer.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.