Triple
T14008697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omicron variant |
E337019
|
entity |
| Predicate | typicalClinicalSeverityComparedToDelta |
P112140
|
FINISHED |
| Object | lowerAverageSeverity |
—
|
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: lowerAverageSeverity | Statement: [Omicron variant, typicalClinicalSeverityComparedToDelta, lowerAverageSeverity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalClinicalSeverityComparedToDelta Context triple: [Omicron variant, typicalClinicalSeverityComparedToDelta, lowerAverageSeverity]
-
A.
typicalClinicalSeverity
Indicates the usual or characteristic level of clinical severity associated with a condition, finding, or case.
-
B.
hasClinicalSignificance
Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
-
C.
treatmentLevel
Indicates the degree or intensity of a treatment applied or received in a given context.
-
D.
comparisonLevel
Indicates the degree or intensity to which two or more entities are being compared within a given context.
-
E.
fastSeverity
Indicates the level or intensity of severity associated with something that is fast or time-critical.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.