Triple
T5481725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COVID-19 vaccines |
E123479
|
entity |
| Predicate | effectOnTransmission |
P58916
|
FINISHED |
| Object | reduction of SARS-CoV-2 transmission risk |
—
|
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: reduction of SARS-CoV-2 transmission risk | Statement: [COVID-19 vaccines, effectOnTransmission, reduction of SARS-CoV-2 transmission risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTransmission Context triple: [COVID-19 vaccines, effectOnTransmission, reduction of SARS-CoV-2 transmission risk]
-
A.
transmissionFactor
Indicates how strongly or efficiently something is passed or transmitted from one entity to another.
-
B.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
C.
transmission
Indicates the transfer or conveyance of something (such as information, energy, or material) from one entity to another.
-
D.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
E.
transmissionCondition
Indicates the circumstances or requirements under which something is transmitted from one entity to another.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.