Triple
T34148876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marburg virus |
E875939
|
entity |
| Predicate | hasNoLicensedVaccine |
P203962
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Marburg virus, hasNoLicensedVaccine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoLicensedVaccine Context triple: [Marburg virus, hasNoLicensedVaccine, true]
-
A.
hasVaccine
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to another entity.
-
B.
vaccineAvailable
Indicates that a vaccine is obtainable or in stock for use or distribution.
-
C.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
D.
hasVaccinePlatform
Indicates that one entity (typically a vaccine) is based on, or utilizes, a specific vaccine platform or technological approach.
-
E.
testedVaccineOn
Indicates that one entity conducted tests or experiments using another entity as the vaccine subject.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a03008316dc8190a9f6faf48d25a4f8 |
completed | May 12, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a030023e66881909ea79f1365ab538a |
completed | May 12, 2026, 10:25 a.m. |
| PDg | Predicate description generation | batch_6a0300826db8819082abc534bae8edb1 |
completed | May 12, 2026, 10:27 a.m. |
Created at: May 1, 2026, 1:54 a.m.