Triple
T10610026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gi protein |
E275980
|
entity |
| Predicate | uponActivation |
P38751
|
FINISHED |
| Object | dissociation of Gαi from Gβγ |
—
|
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: dissociation of Gαi from Gβγ | Statement: [Gi protein, uponActivation, dissociation of Gαi from Gβγ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uponActivation Context triple: [Gi protein, uponActivation, dissociation of Gαi from Gβγ]
-
A.
activatedFor
Indicates that something has been enabled, triggered, or made operational specifically on behalf of or in the context of a particular entity or target.
-
B.
reactivatedDuring
Indicates that an entity becomes active again within the time span or context defined by another event or condition.
-
C.
activationTime
Indicates the specific point in time at which an entity, process, or function becomes active or starts operating.
-
D.
activationMechanism
chosen
Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
-
E.
canBeActivatedFor
Indicates that one entity is capable of being put into an active or operational state by or 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.