Triple
T5248769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AstraZeneca |
E118527
|
entity |
| Predicate | COVID19VaccineType |
P10802
|
FINISHED |
| Object | adenoviral vector 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: adenoviral vector vaccine | Statement: [AstraZeneca, COVID19VaccineType, adenoviral vector vaccine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COVID19VaccineType Context triple: [AstraZeneca, COVID19VaccineType, adenoviral vector vaccine]
-
A.
covid19VaccineType
chosen
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
B.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
C.
hasVaccine
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to another entity.
-
D.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
-
E.
injectionType
Indicates the specific method or form by which an injection is administered or delivered.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.