Triple
T22692326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMN1 |
E561082
|
entity |
| Predicate | lossOfFunctionLeadsTo |
P149298
|
FINISHED |
| Object | reduced SMN protein levels |
—
|
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 SMN protein levels | Statement: [SMN1, lossOfFunctionLeadsTo, reduced SMN protein levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lossOfFunctionLeadsTo Context triple: [SMN1, lossOfFunctionLeadsTo, reduced SMN protein levels]
-
A.
lostLimbTo
Indicates that one entity has had a limb removed, severed, or rendered nonfunctional as a direct result of another entity or cause.
-
B.
lostLimb
Indicates that an entity has had one or more of its limbs removed or rendered permanently absent, typically as a result of injury, surgery, or trauma.
-
C.
lostFunction
Indicates that an entity no longer possesses or can perform a function or capability it previously had.
-
D.
hasSenseImpairment
Indicates that an entity experiences a reduction or loss in one or more sensory abilities (such as sight, hearing, or touch).
-
E.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.