Triple
T10610024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gi protein |
E275980
|
entity |
| Predicate | activatedForm |
P26269
|
FINISHED |
| Object | GTP-bound 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: GTP-bound Gαi | Statement: [Gi protein, activatedForm, GTP-bound Gαi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activatedForm Context triple: [Gi protein, activatedForm, GTP-bound Gαi]
-
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.
activationType
Indicates the specific manner or mechanism by which an activation or triggering event occurs between entities.
-
C.
activeFrom
Indicates the starting point in time from which an entity or relationship is considered active or in effect.
-
D.
activationStatus
Indicates whether an entity is currently active, enabled, or in effect within a given context.
-
E.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
- 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.