Triple
T13942245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARS-CoV-2 |
E335284
|
entity |
| Predicate | genomeSegmentation |
P112355
|
FINISHED |
| Object | non-segmented |
—
|
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: non-segmented | Statement: [SARS-CoV-2, genomeSegmentation, non-segmented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genomeSegmentation Context triple: [SARS-CoV-2, genomeSegmentation, non-segmented]
-
A.
genomeSegmentCount
Indicates the number of distinct genomic segments associated with a given biological entity or sample.
-
B.
genomeSequenced
Indicates that the complete DNA sequence of an organism’s genome has been determined and recorded.
-
C.
chromosomalBand
Indicates a relationship where a specific chromosomal band (a defined region on a chromosome) is associated with or assigned to a chromosome or genomic feature.
-
D.
genomeSize
Indicates the total amount of genetic material (e.g., in base pairs) contained in an organism’s genome.
-
E.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.