Triple
T17419563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bombali ebolavirus |
E423574
|
entity |
| Predicate | diseaseAssociation |
P76100
|
FINISHED |
| Object | Ebola virus disease |
—
|
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: Ebola virus disease | Statement: [Bombali ebolavirus, diseaseAssociation, Ebola virus disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseAssociation Context triple: [Bombali ebolavirus, diseaseAssociation, Ebola virus disease]
-
A.
relatedDiseaseComplex
Indicates that there is a complex or multifaceted disease relationship between the associated entities, often involving multiple conditions, factors, or mechanisms.
-
B.
hasAssociatedDisease
chosen
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
C.
modelForDisease
Indicates that one entity serves as an experimental or representative model used to study, simulate, or understand a particular disease in another entity.
-
D.
hereditaryAssociation
Indicates a relationship in which a trait, condition, or characteristic is passed from ancestors to descendants through genetic inheritance.
-
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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44236419c8190a106748bca6f30cd |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.