Triple
T1169503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spinal muscular atrophy |
E24880
|
entity |
| Predicate | hasPrognosis |
P24568
|
FINISHED |
| Object | variable depending on type and age of onset |
—
|
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: variable depending on type and age of onset | Statement: [spinal muscular atrophy, hasPrognosis, variable depending on type and age of onset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrognosis Context triple: [spinal muscular atrophy, hasPrognosis, variable depending on type and age of onset]
-
A.
predictedIn
Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
-
B.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
C.
hasProposedCause
Indicates that one entity is suggested or hypothesized to be the cause or explanation for another entity or event.
-
D.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
E.
mayBeComorbidWith
Indicates that two conditions or disorders can occur together in the same individual, potentially influencing each other’s presence or severity.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.