Triple
T154241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Health Emergency of International Concern |
E3142
|
entity |
| Predicate | hasBeenDeclaredFor |
P7703
|
FINISHED |
| Object |
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.
|
E19496
|
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: 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo | Statement: [Public Health Emergency of International Concern, hasBeenDeclaredFor, 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo Context triple: [Public Health Emergency of International Concern, hasBeenDeclaredFor, 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo]
-
A.
2014–2016 West Africa Ebola outbreak
The 2014–2016 West Africa Ebola outbreak was the largest and deadliest Ebola epidemic in history, primarily affecting Guinea, Liberia, and Sierra Leone and prompting a major international public health emergency response.
-
B.
Roll Back Malaria
Roll Back Malaria is a global partnership initiative aimed at coordinating international efforts to control and eventually eliminate malaria, particularly in the most affected regions.
-
C.
Africa Centres for Disease Control and Prevention
The Africa Centres for Disease Control and Prevention is a specialized public health agency of the African Union that supports member states in preventing, detecting, and responding to disease threats across the continent.
-
D.
2009 H1N1 influenza pandemic
The 2009 H1N1 influenza pandemic was a global outbreak of a novel swine-origin influenza A virus that spread rapidly worldwide, prompting extensive public health responses and international coordination.
-
E.
House on Fire: The Fight to Eradicate Smallpox
House on Fire: The Fight to Eradicate Smallpox is a nonfiction book recounting the global campaign to eliminate smallpox, written from the perspective of one of the key public health leaders who helped achieve its eradication.
- 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: 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo Triple: [Public Health Emergency of International Concern, hasBeenDeclaredFor, 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo Target entity description: 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.
-
A.
2014–2016 West Africa Ebola outbreak
The 2014–2016 West Africa Ebola outbreak was the largest and deadliest Ebola epidemic in history, primarily affecting Guinea, Liberia, and Sierra Leone and prompting a major international public health emergency response.
-
B.
Roll Back Malaria
Roll Back Malaria is a global partnership initiative aimed at coordinating international efforts to control and eventually eliminate malaria, particularly in the most affected regions.
-
C.
Africa Centres for Disease Control and Prevention
The Africa Centres for Disease Control and Prevention is a specialized public health agency of the African Union that supports member states in preventing, detecting, and responding to disease threats across the continent.
-
D.
2009 H1N1 influenza pandemic
The 2009 H1N1 influenza pandemic was a global outbreak of a novel swine-origin influenza A virus that spread rapidly worldwide, prompting extensive public health responses and international coordination.
-
E.
House on Fire: The Fight to Eradicate Smallpox
House on Fire: The Fight to Eradicate Smallpox is a nonfiction book recounting the global campaign to eliminate smallpox, written from the perspective of one of the key public health leaders who helped achieve its eradication.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bac998c819099f2bed899220a78 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d0c4cae881909e954f12d5bb9672 |
completed | Feb. 28, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_69a2d180ce20819087083946a8c1bd08 |
completed | Feb. 28, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d25066548190ad8913bbe11d82ee |
completed | Feb. 28, 2026, 11:32 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.