Triple

T7668055
Position Surface form Disambiguated ID Type / Status
Subject Landskrona E173673 entity
Predicate hasSportsFacility P105 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, hasSportsFacility, Landskrona IP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landskrona IP
Context triple: [Landskrona, hasSportsFacility, 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_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_69c8a22442dc8190a26c966e7b06f1a9 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.