Triple
T701601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014–2016 West Africa Ebola outbreak |
E14009
|
entity |
| Predicate | disease |
P6645
|
FINISHED |
| Object |
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.
|
E85058
|
NE FINISHED |
How this triple was built (5 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: Ebola virus disease | Statement: [2014–2016 West Africa Ebola outbreak, disease, Ebola virus disease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebola virus disease Context triple: [2014–2016 West Africa Ebola outbreak, disease, Ebola virus disease]
-
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.
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.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
D.
La Contagion sacrée
La Contagion sacrée is an 18th-century philosophical critique of religion by Baron d'Holbach that attacks superstition and the social and moral harms of organized faith.
-
E.
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.
- 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: Ebola virus disease Triple: [2014–2016 West Africa Ebola outbreak, disease, Ebola virus disease]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebola virus disease Target entity description: 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.
-
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.
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.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
D.
La Contagion sacrée
La Contagion sacrée is an 18th-century philosophical critique of religion by Baron d'Holbach that attacks superstition and the social and moral harms of organized faith.
-
E.
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.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disease Context triple: [2014–2016 West Africa Ebola outbreak, disease, Ebola virus disease]
-
A.
diseaseType
chosen
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
B.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
C.
symptom
Indicates that a particular condition, disease, or problem manifests through a specific observable sign or complaint.
-
D.
death
Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
-
E.
diseaseResistance
Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
- F. None of above.
Provenance (6 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcae2ef88190a9ea1604429f048a |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5df14e1788190bb2f2cc87cadcb40 |
completed | March 2, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff5dd4808190bb8ae25fbdca0075 |
completed | March 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.