Triple
T17396197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riboviria |
E422960
|
entity |
| Predicate | hasGeneticMaterial |
P3604
|
FINISHED |
| Object | RNA |
—
|
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: RNA | Statement: [Riboviria, hasGeneticMaterial, RNA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeneticMaterial Context triple: [Riboviria, hasGeneticMaterial, RNA]
-
A.
geneticMaterial
chosen
Indicates that one entity serves as the hereditary or genetic substance (e.g., DNA or RNA) of another entity.
-
B.
hasGene
Indicates that an entity possesses or contains a specific gene as part of its genetic makeup.
-
C.
hasGeneticMechanism
Indicates that one entity possesses or involves a specific genetic process or mechanism responsible for a trait, function, or effect in another entity.
-
D.
hasPlasmid
Indicates that one entity possesses or contains a plasmid associated with it.
-
E.
hasGeneticEvidence
Indicates that there is genetic data or analysis supporting the existence, validity, or nature of the specified relationship or association between entities.
- F. None of above.
Provenance (3 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abd9b748190bd55c863276d9e3a |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.