Triple
T4784852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Équateur Province Ebola outbreak |
E106450
|
entity |
| Predicate | laboratoryConfirmation |
P19381
|
FINISHED |
| Object | Ebola virus detected by PCR |
—
|
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 detected by PCR | Statement: [2017 Équateur Province Ebola outbreak, laboratoryConfirmation, Ebola virus detected by PCR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laboratoryConfirmation Context triple: [2017 Équateur Province Ebola outbreak, laboratoryConfirmation, Ebola virus detected by PCR]
-
A.
laboratoryModule
Indicates a relationship where an entity is a laboratory module or functions as a lab-specific component or unit within a larger system or structure.
-
B.
laboratoryMedium
Indicates that one entity serves as the culture or growth medium used in a laboratory context for another entity.
-
C.
affectsLaboratoryTest
Indicates that one entity has an influence on, alters, or changes the outcome, value, or interpretation of a laboratory test.
-
D.
confirmedFinding
chosen
Indicates that a finding or observation has been verified as true or accurate, rather than being tentative or suspected.
-
E.
judgeConfirmationBy
Indicates that one entity evaluates and validates another entity or action according to certain criteria or standards.
- 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.