Triple
T13959287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamaleya Research Institute |
E335748
|
entity |
| Predicate | vaccinePlatformUsed |
P10802
|
FINISHED |
| Object | adenoviral vector |
—
|
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: adenoviral vector | Statement: [Gamaleya Research Institute, vaccinePlatformUsed, adenoviral vector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vaccinePlatformUsed Context triple: [Gamaleya Research Institute, vaccinePlatformUsed, adenoviral vector]
-
A.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
B.
covid19VaccineType
chosen
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
C.
developedVaccineFor
Indicates that one entity created or produced a vaccine intended to prevent or protect against a disease or condition associated with another entity.
-
D.
encodesInVaccines
Indicates that one entity (such as genetic material or information) is incorporated into or represented within the formulation of a vaccine.
-
E.
hasVaccine
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to another entity.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.