Triple

T7668054
Position Surface form Disambiguated ID Type / Status
Subject Landskrona E173673 entity
Predicate hasSportsClub P346 FINISHED
Object Landskrona BoIS E80649 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 BoIS | Statement: [Landskrona, hasSportsClub, Landskrona BoIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landskrona BoIS
Context triple: [Landskrona, hasSportsClub, Landskrona BoIS]
  • A. Landskrona BoIS chosen
    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.
  • B. Landskrona IP
    Landskrona IP is a football stadium in Landskrona, Sweden, primarily known as the home ground of the local club Landskrona BoIS.
  • 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. 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.
  • E. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c26ffc8190894fdef92f877f38 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.