Triple

T18339568
Position Surface form Disambiguated ID Type / Status
Subject Harstad municipality E439363 entity
Predicate hasHealthFacility P10262 FINISHED
Object Harstad 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: Harstad hospital | Statement: [Harstad municipality, hasHealthFacility, Harstad hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harstad hospital
Context triple: [Harstad municipality, hasHealthFacility, Harstad hospital]
  • A. Ringerike Hospital
    Ringerike Hospital is a regional healthcare facility in Hønefoss, Norway, providing medical and emergency services to the surrounding Ringerike area.
  • B. Haugesund Hospital
    Haugesund Hospital is a regional healthcare facility in western Norway that provides specialized medical and emergency services to residents of Haugesund and surrounding areas.
  • C. 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.
  • D. Hansen Family Hospital
    Hansen Family Hospital is a community healthcare facility serving residents of Iowa Falls and the surrounding area in Iowa.
  • E. 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."
  • 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: Harstad hospital
Target entity description: Harstad hospital is a regional medical center in Harstad, Norway, providing a range of healthcare and emergency services to the surrounding community.
  • A. Ringerike Hospital
    Ringerike Hospital is a regional healthcare facility in Hønefoss, Norway, providing medical and emergency services to the surrounding Ringerike area.
  • B. Haugesund Hospital
    Haugesund Hospital is a regional healthcare facility in western Norway that provides specialized medical and emergency services to residents of Haugesund and surrounding areas.
  • C. 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.
  • D. Hansen Family Hospital
    Hansen Family Hospital is a community healthcare facility serving residents of Iowa Falls and the surrounding area in Iowa.
  • E. 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."
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.