Triple

T13400544
Position Surface form Disambiguated ID Type / Status
Subject Turning Torso E319815 entity
Predicate developer P73 FINISHED
Object HSB Malmö E1039827 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: HSB Malmö | Statement: [Turning Torso, developer, HSB Malmö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSB Malmö
Context triple: [Turning Torso, developer, HSB Malmö]
  • A. HSB Malmö chosen
    HSB Malmö is a Swedish cooperative housing association based in Malmö, known for developing and owning prominent residential properties such as the Turning Torso skyscraper.
  • B. Malmö IF
    Malmö IF is a Swedish professional ice hockey club from Malmö, historically known for competing in the country’s top leagues and later rebranding as the Malmö Redhawks.
  • C. Malmö FF
    Malmö FF is one of Sweden’s most successful and popular football clubs, based in Malmö and known for its numerous national titles and regular participation in European competitions.
  • D. 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.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73983b8f08190bf4d1a64c0beab97 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:34 p.m.