Triple
T24489286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Variola virus |
E617597
|
entity |
| Predicate | vaccineTypeUsed |
P156499
|
FINISHED |
| Object | live attenuated vaccinia virus vaccine |
—
|
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: live attenuated vaccinia virus vaccine | Statement: [Variola virus, vaccineTypeUsed, live attenuated vaccinia virus vaccine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vaccineTypeUsed Context triple: [Variola virus, vaccineTypeUsed, live attenuated vaccinia virus vaccine]
-
A.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
B.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
C.
testedVaccineOn
Indicates that one entity conducted tests or experiments using another entity as the vaccine subject.
-
D.
vaccineTypeDerived
Indicates that one vaccine type is derived or developed from another vaccine type.
-
E.
hasVaccine
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.