Triple
T10610042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gi protein |
E275980
|
entity |
| Predicate | downstreamEffect |
P53074
|
FINISHED |
| Object | reduced protein kinase A activity |
—
|
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: reduced protein kinase A activity | Statement: [Gi protein, downstreamEffect, reduced protein kinase A activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: downstreamEffect Context triple: [Gi protein, downstreamEffect, reduced protein kinase A activity]
-
A.
downstreamFrom
Indicates that one entity is located or occurs at a point further along the natural flow or direction of another entity, typically in a linear or directional system such as a river, pipeline, or process sequence.
-
B.
flowsDownSideOf
Indicates that one entity moves or runs downward along the side or surface of another entity.
-
C.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
D.
eventEffect
chosen
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
E.
predictedEffect
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for 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_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.