Triple
T4200694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaire ebolavirus |
E86056
|
entity |
| Predicate | associatedOutbreak |
P54330
|
FINISHED |
| Object |
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.
|
E422961
|
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: 2007 Ebola outbreak in Democratic Republic of the Congo | Statement: [Zaire ebolavirus, associatedOutbreak, 2007 Ebola outbreak in Democratic Republic of the Congo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2007 Ebola outbreak in Democratic Republic of the Congo Context triple: [Zaire ebolavirus, associatedOutbreak, 2007 Ebola outbreak in Democratic Republic of the Congo]
-
A.
1995 Kikwit Ebola outbreak
The 1995 Kikwit Ebola outbreak was a major epidemic of Ebola virus disease in Kikwit, Zaire (now the Democratic Republic of the Congo), that caused hundreds of cases and deaths and became a key event in understanding and responding to Ebola.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Ebola virus disease
Ebola virus disease is a severe, often fatal illness in humans caused by infection with Ebola virus, characterized by fever, hemorrhaging, and organ failure, and known for causing major outbreaks such as the 2014–2016 West Africa epidemic.
- 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: 2007 Ebola outbreak in Democratic Republic of the Congo Triple: [Zaire ebolavirus, associatedOutbreak, 2007 Ebola outbreak in Democratic Republic of the Congo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2007 Ebola outbreak in Democratic Republic of the Congo Target entity description: 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.
-
A.
1995 Kikwit Ebola outbreak
The 1995 Kikwit Ebola outbreak was a major epidemic of Ebola virus disease in Kikwit, Zaire (now the Democratic Republic of the Congo), that caused hundreds of cases and deaths and became a key event in understanding and responding to Ebola.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Ebola virus disease
Ebola virus disease is a severe, often fatal illness in humans caused by infection with Ebola virus, characterized by fever, hemorrhaging, and organ failure, and known for causing major outbreaks such as the 2014–2016 West Africa epidemic.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0b2db368819080c1d652b4acfd0c |
completed | March 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962296b8819084b91de3f48b7658 |
completed | March 14, 2026, 5:08 p.m. |
| NEDg | Description generation | batch_69b59a25a5bc8190a75c146bba994db1 |
completed | March 14, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59e129d50819093836d446aa5a6d0 |
completed | March 14, 2026, 5:42 p.m. |
Created at: March 9, 2026, 3:49 p.m.