Triple
T4131884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebola virus disease |
E85058
|
entity |
| Predicate | majorOutbreak |
P19547
|
FINISHED |
| Object | 2014–2016 West Africa Ebola outbreak |
—
|
LITERAL FINISHED |
How this triple was built (2 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 outbreak | Statement: [Ebola virus disease, majorOutbreak, 2014–2016 West Africa Ebola outbreak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorOutbreak Context triple: [Ebola virus disease, majorOutbreak, 2014–2016 West Africa Ebola outbreak]
-
A.
majorFlashpointIn
Indicates that an event, issue, or conflict serves as a primary source of tension or confrontation within a specified larger context or setting.
-
B.
majorCrisis
chosen
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
-
C.
majorExpansionUnder
Indicates that one entity is undergoing or has undergone a significant enlargement, growth, or extension while being under the authority, control, or scope of another entity.
-
D.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
E.
associatedPandemic
Indicates a relationship where something (such as an event, condition, or entity) is linked or connected to a specific pandemic.
- F. None of above.
Provenance (3 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.