Triple

T12418260
Position Surface form Disambiguated ID Type / Status
Subject Health Organization of the League of Nations E296693 entity
Predicate notableWork P4 FINISHED
Object international epidemiological reporting system
The international epidemiological reporting system was an early global mechanism for systematically collecting and sharing data on disease outbreaks to support coordinated public health responses.
E981462 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: international epidemiological reporting system | Statement: [Health Organization of the League of Nations, notableWork, international epidemiological reporting system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: international epidemiological reporting system
Context triple: [Health Organization of the League of Nations, notableWork, international epidemiological reporting system]
  • A. National Notifiable Diseases Surveillance System
    The National Notifiable Diseases Surveillance System is a nationwide public health surveillance program in the United States that collects, analyzes, and disseminates data on certain infectious and non-infectious diseases to support disease control and prevention efforts.
  • B. National Incident-Based Reporting System
    The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
  • C. national disease surveillance system of the Democratic Republic of the Congo
    The national disease surveillance system of the Democratic Republic of the Congo is the country’s coordinated public health infrastructure for detecting, monitoring, and reporting infectious diseases and outbreaks to guide timely response and control measures.
  • D. National Electronic Injury Surveillance System
    The National Electronic Injury Surveillance System is a U.S. database that collects and analyzes hospital emergency department data to monitor and estimate injuries associated with consumer products nationwide.
  • E. Norwegian Surveillance System for Communicable Diseases
    The Norwegian Surveillance System for Communicable Diseases is Norway’s national system for monitoring, reporting, and analyzing infectious diseases to support public health response and prevention.
  • 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: international epidemiological reporting system
Triple: [Health Organization of the League of Nations, notableWork, international epidemiological reporting system]
Generated description
The international epidemiological reporting system was an early global mechanism for systematically collecting and sharing data on disease outbreaks to support coordinated public health responses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: international epidemiological reporting system
Target entity description: The international epidemiological reporting system was an early global mechanism for systematically collecting and sharing data on disease outbreaks to support coordinated public health responses.
  • A. National Notifiable Diseases Surveillance System
    The National Notifiable Diseases Surveillance System is a nationwide public health surveillance program in the United States that collects, analyzes, and disseminates data on certain infectious and non-infectious diseases to support disease control and prevention efforts.
  • B. National Incident-Based Reporting System
    The National Incident-Based Reporting System is a U.S. crime data collection program that compiles detailed, incident-level information on offenses reported to law enforcement agencies nationwide.
  • C. national disease surveillance system of the Democratic Republic of the Congo
    The national disease surveillance system of the Democratic Republic of the Congo is the country’s coordinated public health infrastructure for detecting, monitoring, and reporting infectious diseases and outbreaks to guide timely response and control measures.
  • D. National Electronic Injury Surveillance System
    The National Electronic Injury Surveillance System is a U.S. database that collects and analyzes hospital emergency department data to monitor and estimate injuries associated with consumer products nationwide.
  • E. Norwegian Surveillance System for Communicable Diseases
    The Norwegian Surveillance System for Communicable Diseases is Norway’s national system for monitoring, reporting, and analyzing infectious diseases to support public health response and prevention.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6de5808190b2116b0b491c40b5 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634915940819092665f1f35aa823d completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6359a52b4819096c3f520a5714b0a completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f63697d5b8819094728df472eb1914 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.