Triple
T9632110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BioNTech |
E232831
|
entity |
| Predicate | hasTechnologyPlatform |
P842
|
FINISHED |
| Object | mRNA vaccine platform |
—
|
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: mRNA vaccine platform | Statement: [BioNTech, hasTechnologyPlatform, mRNA vaccine platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTechnologyPlatform Context triple: [BioNTech, hasTechnologyPlatform, mRNA vaccine platform]
-
A.
hasTechnologyTheme
Indicates that something is associated with, centers on, or prominently features technology as a primary theme or subject.
-
B.
hasPrimaryPlatform
Indicates that one entity is designated as the main or principal platform associated with another entity.
-
C.
hasOnlinePlatform
Indicates that an entity operates, maintains, or is associated with a presence or service on an online platform.
-
D.
hasPlatformType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
E.
usesTechnologyDevelopedBy
Indicates that one entity makes use of a technology that was created or developed by 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.