Triple
T6065079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMN2 |
E135135
|
entity |
| Predicate | copyNumberEffect |
P68446
|
FINISHED |
| Object | higher copy number correlates with milder SMA phenotype |
—
|
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: higher copy number correlates with milder SMA phenotype | Statement: [SMN2, copyNumberEffect, higher copy number correlates with milder SMA phenotype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyNumberEffect Context triple: [SMN2, copyNumberEffect, higher copy number correlates with milder SMA phenotype]
-
A.
chromosomeNumber
Indicates the specific count of chromosomes associated with an organism, cell, or genetic entity.
-
B.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
C.
repetitionCount
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
-
D.
expansionNumber
Indicates the specific expansion sequence or identifier assigned to an entity within a series of related additions or extensions.
-
E.
hasCopy
Indicates that one entity possesses, contains, or maintains a duplicate or instance of another 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05723c91c819090b4d4672e72f9f3 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:10 p.m.