Triple
T17456526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onchocerciasis Control Programme in West Africa |
E425042
|
entity |
| Predicate | diseaseTargeted |
P20980
|
FINISHED |
| Object | Onchocerca volvulus infection |
—
|
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: Onchocerca volvulus infection | Statement: [Onchocerciasis Control Programme in West Africa, diseaseTargeted, Onchocerca volvulus infection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseTargeted Context triple: [Onchocerciasis Control Programme in West Africa, diseaseTargeted, Onchocerca volvulus infection]
-
A.
hasTargetDisease
chosen
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
B.
targetsDiseaseVector
Indicates that an entity is directed at, designed to affect, or intended to control a particular disease-carrying vector organism.
-
C.
basedOnDisease
Indicates that something (such as a decision, classification, or action) is determined or derived on the basis of a particular disease or disease-related information.
-
D.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
E.
humanDisease
Indicates that the subject is a disease that affects humans.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.