Triple
T903506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo |
E19496
|
entity |
| Predicate | largerOnlyThan |
P10621
|
FINISHED |
| Object | 2014–2016 West Africa Ebola epidemic |
E14009
|
NE FINISHED |
How this triple was built (3 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: 2014–2016 West Africa Ebola epidemic | Statement: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, largerOnlyThan, 2014–2016 West Africa Ebola epidemic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2014–2016 West Africa Ebola epidemic Context triple: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, largerOnlyThan, 2014–2016 West Africa Ebola epidemic]
-
A.
2014–2016 West Africa Ebola outbreak
chosen
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.
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.
-
C.
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.
-
D.
2015–2016 Zika virus outbreak
The 2015–2016 Zika virus outbreak was a major global health crisis, centered in the Americas, marked by mosquito-borne transmission and severe birth defects such as microcephaly, prompting international public health emergencies and coordinated responses.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largerOnlyThan Context triple: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, largerOnlyThan, 2014–2016 West Africa Ebola epidemic]
-
A.
largerThan
chosen
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
B.
isHigherThan
Indicates that one entity has a greater value, level, or position than another entity.
-
C.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
E.
meetsAtLeast
Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
- F. None of above.
Provenance (4 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c736bb6c8190a9cad1ef536be785 |
completed | March 4, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.