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.