Triple
T10610045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gi protein |
E275980
|
entity |
| Predicate | pertussisToxinEffect |
P54346
|
FINISHED |
| Object | ADP-ribosylation of Gαi |
—
|
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: ADP-ribosylation of Gαi | Statement: [Gi protein, pertussisToxinEffect, ADP-ribosylation of Gαi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pertussisToxinEffect Context triple: [Gi protein, pertussisToxinEffect, ADP-ribosylation of Gαi]
-
A.
toxinEffect
chosen
Indicates the harmful impact or physiological response caused by a toxin on a target entity.
-
B.
toxinProduced
Indicates that one entity generates or secretes a substance that is toxic or harmful to another entity or its environment.
-
C.
predictedEffect
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
D.
toxinType
Indicates the specific kind or category of toxin associated with an entity.
-
E.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:32 p.m.