Triple

T19816640
Position Surface form Disambiguated ID Type / Status
Subject IFK Lidingö E476073 entity
Predicate shortName P43 FINISHED
Object IFK Lidingö 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: IFK Lidingö | Statement: [IFK Lidingö, shortName, IFK Lidingö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFK Lidingö
Context triple: [IFK Lidingö, shortName, IFK Lidingö]
  • A. IFK Lidingö chosen
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • B. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • C. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • D. IFK Göteborg
    IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
  • E. 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.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.