Triple

T13252127
Position Surface form Disambiguated ID Type / Status
Subject Landskrona BoIS E315558 entity
Predicate homeStadium P890 FINISHED
Object Landskrona IP E318112 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: Landskrona IP | Statement: [Landskrona BoIS, homeStadium, Landskrona IP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landskrona IP
Context triple: [Landskrona BoIS, homeStadium, Landskrona IP]
  • A. Landskrona IP chosen
    Landskrona IP is a football stadium in Landskrona, Sweden, primarily known as the home ground of the local club Landskrona BoIS.
  • B. Landskrona BoIS
    Landskrona BoIS is a Swedish football club based in Landskrona, known for competing in the country’s professional league system and developing both domestic and international players.
  • C. Landskrona
    Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
  • D. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • E. Kalmar FF
    Kalmar FF is a professional Swedish football club based in the city of Kalmar that competes in the country’s top leagues and national competitions.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c6797c819090bfcc9a5b62ac1c completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:24 p.m.