Triple

T23025520
Position Surface form Disambiguated ID Type / Status
Subject Flemingsberg district E573298 entity
Predicate hasLandmark P105 FINISHED
Object Huddinge 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: Huddinge hospital | Statement: [Flemingsberg district, hasLandmark, Huddinge hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huddinge hospital
Context triple: [Flemingsberg district, hasLandmark, Huddinge hospital]
  • A. Danderyd Hospital
    Danderyd Hospital is a major acute care and teaching hospital in the Stockholm region of Sweden, known for its wide range of medical specialties and affiliation with the Karolinska Institute.
  • B. Karolinska University Hospital
    Karolinska University Hospital is one of Sweden’s largest and most renowned teaching and research hospitals, closely linked to cutting-edge medical science and clinical care in Stockholm.
  • C. Uddevalla Hospital
    Uddevalla Hospital is a regional medical center in Uddevalla, Sweden, providing a range of healthcare services to the surrounding community.
  • D. Norrland University Hospital
    Norrland University Hospital is a major teaching and research hospital in Umeå, Sweden, serving as a central medical hub for the northern regions of the country.
  • E. Uppsala University Hospital
    Uppsala University Hospital is a major Swedish teaching and research hospital closely affiliated with Uppsala University and known for its advanced medical care and scientific contributions.
  • 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: Huddinge hospital
Target entity description: Huddinge Hospital is a major university and regional hospital in the Stockholm area of Sweden, known for its extensive medical services and research activities.
  • A. Danderyd Hospital
    Danderyd Hospital is a major acute care and teaching hospital in the Stockholm region of Sweden, known for its wide range of medical specialties and affiliation with the Karolinska Institute.
  • B. Karolinska University Hospital chosen
    Karolinska University Hospital is one of Sweden’s largest and most renowned teaching and research hospitals, closely linked to cutting-edge medical science and clinical care in Stockholm.
  • C. Uddevalla Hospital
    Uddevalla Hospital is a regional medical center in Uddevalla, Sweden, providing a range of healthcare services to the surrounding community.
  • D. Norrland University Hospital
    Norrland University Hospital is a major teaching and research hospital in Umeå, Sweden, serving as a central medical hub for the northern regions of the country.
  • E. Uppsala University Hospital
    Uppsala University Hospital is a major Swedish teaching and research hospital closely affiliated with Uppsala University and known for its advanced medical care and scientific contributions.
  • F. None of above.

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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847c671c8190a8095051d8c3cf93 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.