Triple
T1169474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spinal muscular atrophy |
E24880
|
entity |
| Predicate | hasPrevalence |
P24564
|
FINISHED |
| Object | approximately 1 in 6,000 to 1 in 10,000 live births |
—
|
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: approximately 1 in 6,000 to 1 in 10,000 live births | Statement: [spinal muscular atrophy, hasPrevalence, approximately 1 in 6,000 to 1 in 10,000 live births]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrevalence Context triple: [spinal muscular atrophy, hasPrevalence, approximately 1 in 6,000 to 1 in 10,000 live births]
-
A.
prevalentIn
Indicates that something occurs frequently or is commonly found within a particular context, group, or environment.
-
B.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
C.
hasLargePresenceIn
Indicates that an entity maintains a significant or dominant level of activity, influence, or representation within a specified location, domain, or context.
-
D.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
E.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
- 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.