Triple
T6004674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survival motor neuron protein |
E133680
|
entity |
| Predicate | biologicalProcess |
P35137
|
FINISHED |
| Object | spliceosomal snRNP assembly |
—
|
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: spliceosomal snRNP assembly | Statement: [Survival motor neuron protein, biologicalProcess, spliceosomal snRNP assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biologicalProcess Context triple: [Survival motor neuron protein, biologicalProcess, spliceosomal snRNP assembly]
-
A.
affectsBiologicalProcess
Indicates a relationship where one entity produces a change or influence on a biological process of another entity or system.
-
B.
biologicalEvent
chosen
Indicates a relationship where an entity participates in, causes, or is affected by a process or occurrence in a biological system.
-
C.
biologicalCharacteristic
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
D.
usedInBiology
Indicates that something is employed, applied, or serves a function within the field or practices of biology.
-
E.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.