Triple

T12518436
Position Surface form Disambiguated ID Type / Status
Subject College of Dentistry, Seoul National University E299250 entity
Predicate hasClinicalFacility P2836 FINISHED
Object Seoul National University Dental Hospital
Seoul National University Dental Hospital is a major university-affiliated dental teaching and treatment center in South Korea, providing specialized oral healthcare services and clinical training.
E997659 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: Seoul National University Dental Hospital | Statement: [College of Dentistry, Seoul National University, hasClinicalFacility, Seoul National University Dental Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul National University Dental Hospital
Context triple: [College of Dentistry, Seoul National University, hasClinicalFacility, Seoul National University Dental Hospital]
  • A. Korea University Medical Center
    Korea University Medical Center is a major South Korean academic medical system that operates university-affiliated hospitals and provides clinical education, research, and healthcare services.
  • B. Keimyung University Dongsan Medical Center
    Keimyung University Dongsan Medical Center is a major teaching hospital and comprehensive medical facility in Daegu, South Korea, affiliated with Keimyung University’s College of Medicine.
  • C. Seoul National University Hospital
    Seoul National University Hospital is a leading tertiary teaching and research hospital in South Korea, affiliated with Seoul National University and renowned for its advanced medical care and academic excellence.
  • D. Yonsei University Health System
    Yonsei University Health System is a major South Korean medical network that oversees Yonsei University’s healthcare institutions, including its teaching hospitals and clinical facilities.
  • E. Yonsei University College of Medicine
    Yonsei University College of Medicine is a leading medical school in South Korea known for its comprehensive medical education, research, and clinical training programs affiliated with Yonsei University and Severance Hospital.
  • 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: Seoul National University Dental Hospital
Triple: [College of Dentistry, Seoul National University, hasClinicalFacility, Seoul National University Dental Hospital]
Generated description
Seoul National University Dental Hospital is a major university-affiliated dental teaching and treatment center in South Korea, providing specialized oral healthcare services and clinical training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seoul National University Dental Hospital
Target entity description: Seoul National University Dental Hospital is a major university-affiliated dental teaching and treatment center in South Korea, providing specialized oral healthcare services and clinical training.
  • A. Korea University Medical Center
    Korea University Medical Center is a major South Korean academic medical system that operates university-affiliated hospitals and provides clinical education, research, and healthcare services.
  • B. Keimyung University Dongsan Medical Center
    Keimyung University Dongsan Medical Center is a major teaching hospital and comprehensive medical facility in Daegu, South Korea, affiliated with Keimyung University’s College of Medicine.
  • C. Seoul National University Hospital
    Seoul National University Hospital is a leading tertiary teaching and research hospital in South Korea, affiliated with Seoul National University and renowned for its advanced medical care and academic excellence.
  • D. Yonsei University Health System
    Yonsei University Health System is a major South Korean medical network that oversees Yonsei University’s healthcare institutions, including its teaching hospitals and clinical facilities.
  • E. Yonsei University College of Medicine
    Yonsei University College of Medicine is a leading medical school in South Korea known for its comprehensive medical education, research, and clinical training programs affiliated with Yonsei University and Severance Hospital.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545a2e188190bb92120df740003d completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f6732ea7408190a95f0a5f983dfdb7 completed May 2, 2026, 9:57 p.m.
Created at: April 8, 2026, 9:57 p.m.