Triple
T903524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo |
E19496
|
entity |
| Predicate | treatmentUsed |
P4714
|
FINISHED |
| Object | monoclonal antibody therapy |
—
|
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: monoclonal antibody therapy | Statement: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, treatmentUsed, monoclonal antibody therapy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentUsed Context triple: [2018–2020 Kivu Ebola epidemic in the Democratic Republic of the Congo, treatmentUsed, monoclonal antibody therapy]
-
A.
treatment
chosen
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
B.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
C.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
D.
treatmentCountry
Indicates the country where a treatment, therapy, or medical intervention is administered or takes place.
-
E.
treatmentLocation
Indicates the place or facility where a treatment or medical intervention is administered to an entity.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.