Triple

T12722127
Position Surface form Disambiguated ID Type / Status
Subject Uppsala University Hospital E304010 entity
Predicate hasAcademicPartner P467 FINISHED
Object Faculty of Medicine, Uppsala University
The Faculty of Medicine at Uppsala University is a major Swedish medical faculty known for its education and research in medicine, biomedicine, and health sciences within one of Europe’s oldest universities.
E999725 NE FINISHED

How this triple was built (4 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: Faculty of Medicine, Uppsala University | Statement: [Uppsala University Hospital, hasAcademicPartner, Faculty of Medicine, Uppsala University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Uppsala University
Context triple: [Uppsala University Hospital, hasAcademicPartner, Faculty of Medicine, Uppsala University]
  • A. Faculty of Medicine at Lund University
    The Faculty of Medicine at Lund University is a major Swedish medical faculty known for its education and research in medicine, biomedicine, and health sciences, closely integrated with regional healthcare and international collaborations.
  • B. Faculty of Medicine, Lund University
    The Faculty of Medicine at Lund University is a major Swedish medical faculty known for its education and research in medicine, health sciences, and clinical practice in collaboration with regional hospitals and research centers.
  • C. 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.
  • D. Sahlgrenska Academy
    Sahlgrenska Academy is the medical and health sciences faculty of the University of Gothenburg, known for its education and research in medicine, dentistry, and related fields.
  • E. Karolinska Institute
    Karolinska Institute is a renowned Swedish medical university and research institution internationally recognized for its leading role in biomedical science and education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faculty of Medicine, Uppsala University
Triple: [Uppsala University Hospital, hasAcademicPartner, Faculty of Medicine, Uppsala University]
Generated description
The Faculty of Medicine at Uppsala University is a major Swedish medical faculty known for its education and research in medicine, biomedicine, and health sciences within one of Europe’s oldest universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Uppsala University
Target entity description: The Faculty of Medicine at Uppsala University is a major Swedish medical faculty known for its education and research in medicine, biomedicine, and health sciences within one of Europe’s oldest universities.
  • A. Faculty of Medicine at Lund University
    The Faculty of Medicine at Lund University is a major Swedish medical faculty known for its education and research in medicine, biomedicine, and health sciences, closely integrated with regional healthcare and international collaborations.
  • B. Faculty of Medicine, Lund University
    The Faculty of Medicine at Lund University is a major Swedish medical faculty known for its education and research in medicine, health sciences, and clinical practice in collaboration with regional hospitals and research centers.
  • C. 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.
  • D. Sahlgrenska Academy
    Sahlgrenska Academy is the medical and health sciences faculty of the University of Gothenburg, known for its education and research in medicine, dentistry, and related fields.
  • E. Karolinska Institute
    Karolinska Institute is a renowned Swedish medical university and research institution internationally recognized for its leading role in biomedical science and education.
  • F. None of above. chosen

Provenance (5 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:24 p.m.