Triple

T20823752
Position Surface form Disambiguated ID Type / Status
Subject Bornholm Municipality E512640 entity
Predicate contains P35 FINISHED
Object Bornholms Hospital NE NERFINISHED

How this triple was built (3 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: Bornholms Hospital | Statement: [Bornholm Municipality, contains, Bornholms Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornholms Hospital
Context triple: [Bornholm Municipality, contains, Bornholms Hospital]
  • A. Riget Hospital
    Riget Hospital is a real Copenhagen hospital best known internationally as the eerie, central setting of Lars von Trier’s cult Danish TV series "The Kingdom."
  • B. Hvidovre Hospital
    Hvidovre Hospital is a major Danish university and regional hospital located in Hvidovre, near Copenhagen, known for its emergency care, specialized medical services, and clinical research.
  • C. Frederiksberg Hospital
    Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
  • D. Kunde Hospital
    Kunde Hospital is a small, high-altitude medical facility in the Khumbu region of Nepal that provides essential healthcare services to local Sherpa communities and trekkers near Mount Everest.
  • E. Odense University Hospital
    Odense University Hospital is a major Danish teaching and research hospital serving as the primary healthcare and clinical education center for the city of Odense and the surrounding region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bornholms Hospital
Target entity description: Bornholms Hospital is the main regional hospital serving the population of the Danish island of Bornholm, providing a range of medical and emergency services.
  • A. Riget Hospital
    Riget Hospital is a real Copenhagen hospital best known internationally as the eerie, central setting of Lars von Trier’s cult Danish TV series "The Kingdom."
  • B. Hvidovre Hospital
    Hvidovre Hospital is a major Danish university and regional hospital located in Hvidovre, near Copenhagen, known for its emergency care, specialized medical services, and clinical research.
  • C. Frederiksberg Hospital
    Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
  • D. Kunde Hospital
    Kunde Hospital is a small, high-altitude medical facility in the Khumbu region of Nepal that provides essential healthcare services to local Sherpa communities and trekkers near Mount Everest.
  • E. Odense University Hospital
    Odense University Hospital is a major Danish teaching and research hospital serving as the primary healthcare and clinical education center for the city of Odense and the surrounding region.
  • F. None of above. chosen

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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.