Triple
T4784711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabalako Health Zone |
E106447
|
entity |
| Predicate | hasOutbreakStart |
P9036
|
FINISHED |
| Object | August 2018 Ebola virus disease detection in Mangina |
—
|
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: August 2018 Ebola virus disease detection in Mangina | Statement: [Mabalako Health Zone, hasOutbreakStart, August 2018 Ebola virus disease detection in Mangina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutbreakStart Context triple: [Mabalako Health Zone, hasOutbreakStart, August 2018 Ebola virus disease detection in Mangina]
-
A.
hasOnset
chosen
Indicates the point in time or condition at which a process, event, or state begins.
-
B.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
C.
outbreakEndYear
Indicates the calendar year in which a particular outbreak is considered to have ended.
-
D.
associatedOutbreak
Indicates that one entity (such as a case, location, or event) is linked to or involved in a particular outbreak.
-
E.
isReservoirOf
Indicates that one entity serves as a storage source or container holding a particular substance, resource, or quantity for another entity or purpose.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ae49ec81908f16248d22d1155f |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.