Triple

T6747119
Position Surface form Disambiguated ID Type / Status
Subject Huntingdon Road, Cambridge E154244 entity
Predicate hostsInstitution P186 FINISHED
Object Institute of Public Health, University of Cambridge
The Institute of Public Health at the University of Cambridge is a leading academic center dedicated to research, education, and policy impact in population health and epidemiology.
E14347 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: Institute of Public Health, University of Cambridge | Statement: [Huntingdon Road, Cambridge, hostsInstitution, Institute of Public Health, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute of Public Health, University of Cambridge
Context triple: [Huntingdon Road, Cambridge, hostsInstitution, Institute of Public Health, University of Cambridge]
  • A. Department of Public Health and Primary Care, University of Cambridge
    The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
  • B. London School of Hygiene & Tropical Medicine
    The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
  • C. Institute of Public Health
    The Institute of Public Health is a research and teaching center focused on population health, epidemiology, and health policy within the medical faculty of Charité – Universitätsmedizin Berlin.
  • D. Institute of Public Health
    The Institute of Public Health is a specialized academic and research center within Hacettepe University in Turkey, focusing on public health education, epidemiological research, and health policy development.
  • E. MRC Epidemiology Unit, University of Cambridge
    The MRC Epidemiology Unit at the University of Cambridge is a leading research center focused on understanding the causes and prevention of obesity, diabetes, and related metabolic disorders through population-based and clinical studies.
  • 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: Institute of Public Health, University of Cambridge
Triple: [Huntingdon Road, Cambridge, hostsInstitution, Institute of Public Health, University of Cambridge]
Generated description
The Institute of Public Health at the University of Cambridge is a leading academic center dedicated to research, education, and policy impact in population health and epidemiology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute of Public Health, University of Cambridge
Target entity description: The Institute of Public Health at the University of Cambridge is a leading academic center dedicated to research, education, and policy impact in population health and epidemiology.
  • A. Department of Public Health and Primary Care, University of Cambridge chosen
    The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
  • B. London School of Hygiene & Tropical Medicine
    The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
  • C. Institute of Public Health
    The Institute of Public Health is a research and teaching center focused on population health, epidemiology, and health policy within the medical faculty of Charité – Universitätsmedizin Berlin.
  • D. Institute of Public Health
    The Institute of Public Health is a specialized academic and research center within Hacettepe University in Turkey, focusing on public health education, epidemiological research, and health policy development.
  • E. MRC Epidemiology Unit, University of Cambridge
    The MRC Epidemiology Unit at the University of Cambridge is a leading research center focused on understanding the causes and prevention of obesity, diabetes, and related metabolic disorders through population-based and clinical studies.
  • F. None of above.

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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b8a0f0819086b802983e8ffcb6 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b15ded88190a36fb86093ba5a3c completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c334a90819084bb0b25bbc112cc completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70d0fcbc08190b3a7d0de3c634a5f completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:10 p.m.