Triple
T20301394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaxzevria COVID-19 vaccine |
E505486
|
entity |
| Predicate | encodesAntigen |
P92936
|
FINISHED |
| Object | SARS-CoV-2 spike protein |
—
|
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: SARS-CoV-2 spike protein | Statement: [Vaxzevria COVID-19 vaccine, encodesAntigen, SARS-CoV-2 spike protein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodesAntigen Context triple: [Vaxzevria COVID-19 vaccine, encodesAntigen, SARS-CoV-2 spike protein]
-
A.
encodesInVaccines
chosen
Indicates that one entity (such as genetic material or information) is incorporated into or represented within the formulation of a vaccine.
-
B.
encodes
Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
-
C.
antigen
Indicates that one entity functions as an antigen in relation to another, typically provoking or being recognized by an immune response.
-
D.
antigenLocation
Indicates the location or site within an organism or environment where a specific antigen is present or found.
-
E.
encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770c700c81909da247cef0d0f1eb |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:17 a.m.