Triple

T5117753
Position Surface form Disambiguated ID Type / Status
Subject Kalunguta E115378 entity
Predicate subjectOf P38 FINISHED
Object Ministry of Health of the DRC Ebola response
The Ministry of Health of the DRC Ebola response is the national public health authority’s coordinated program to detect, contain, and manage Ebola outbreaks across the Democratic Republic of the Congo.
E496108 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: Ministry of Health of the DRC Ebola response | Statement: [Kalunguta, subjectOf, Ministry of Health of the DRC Ebola response]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ministry of Health of the DRC Ebola response
Context triple: [Kalunguta, subjectOf, Ministry of Health of the DRC Ebola response]
  • A. 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo
    The 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo was a major Ebola virus outbreak in the country’s conflict-affected eastern region that became the second-largest Ebola epidemic ever recorded and prompted a global emergency response.
  • B. 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.
  • C. 2007 Ebola outbreak in Democratic Republic of the Congo
    The 2007 Ebola outbreak in the Democratic Republic of the Congo was a deadly epidemic in Kasai-Occidental Province that resulted in dozens of cases and fatalities and was caused by the highly virulent Zaire ebolavirus.
  • D. United Nations Mission for Ebola Emergency Response
    The United Nations Mission for Ebola Emergency Response was a UN emergency health mission established in 2014 to coordinate and accelerate international efforts to contain and end the Ebola outbreak in West Africa.
  • E. 2017 Équateur Province Ebola outbreak
    The 2017 Équateur Province Ebola outbreak was a localized flare-up of Ebola virus disease in the Democratic Republic of the Congo that was quickly contained through rapid public health intervention.
  • 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: Ministry of Health of the DRC Ebola response
Triple: [Kalunguta, subjectOf, Ministry of Health of the DRC Ebola response]
Generated description
The Ministry of Health of the DRC Ebola response is the national public health authority’s coordinated program to detect, contain, and manage Ebola outbreaks across the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ministry of Health of the DRC Ebola response
Target entity description: The Ministry of Health of the DRC Ebola response is the national public health authority’s coordinated program to detect, contain, and manage Ebola outbreaks across the Democratic Republic of the Congo.
  • A. 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo
    The 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo was a major Ebola virus outbreak in the country’s conflict-affected eastern region that became the second-largest Ebola epidemic ever recorded and prompted a global emergency response.
  • B. 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.
  • C. 2007 Ebola outbreak in Democratic Republic of the Congo
    The 2007 Ebola outbreak in the Democratic Republic of the Congo was a deadly epidemic in Kasai-Occidental Province that resulted in dozens of cases and fatalities and was caused by the highly virulent Zaire ebolavirus.
  • D. United Nations Mission for Ebola Emergency Response
    The United Nations Mission for Ebola Emergency Response was a UN emergency health mission established in 2014 to coordinate and accelerate international efforts to contain and end the Ebola outbreak in West Africa.
  • E. 2017 Équateur Province Ebola outbreak
    The 2017 Équateur Province Ebola outbreak was a localized flare-up of Ebola virus disease in the Democratic Republic of the Congo that was quickly contained through rapid public health intervention.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77ce1ea48190b283cae7bb9b72eb completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4a6a7988190b9beec3f0d9494d1 completed March 21, 2026, 4:17 p.m.
NEDg Description generation batch_69bec698ffac8190a604c27ac30df53e completed March 21, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69bec7977aa08190bbf4fc039362c5b5 completed March 21, 2026, 4:30 p.m.
Created at: March 20, 2026, 1:41 p.m.