Triple
T10610009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gi protein |
E275980
|
entity |
| Predicate | bindsNucleotide |
P94937
|
FINISHED |
| Object | GTP |
—
|
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 | Statement: [Gi protein, bindsNucleotide, GTP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bindsNucleotide Context triple: [Gi protein, bindsNucleotide, GTP]
-
A.
hasProteinBinding
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
B.
bindsTo
Indicates that one entity physically or functionally attaches or connects to another, often with some specificity or selectivity in the interaction.
-
C.
substrateAffinity
Indicates the degree to which one entity tends to bind to, interact with, or preferentially act upon a particular substrate.
-
D.
geneticMaterial
Indicates that one entity serves as the hereditary or genetic substance (e.g., DNA or RNA) of another entity.
-
E.
ribosomeType
Indicates the specific kind or category of ribosome associated with or used by an entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.