Triple

T19773724
Position Surface form Disambiguated ID Type / Status
Subject respiratory syncytial virus E474952 entity
Predicate hasGenomeStructure P137288 FINISHED
Object nonsegmented genome 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: nonsegmented genome | Statement: [respiratory syncytial virus, hasGenomeStructure, nonsegmented genome]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGenomeStructure
Context triple: [respiratory syncytial virus, hasGenomeStructure, nonsegmented genome]
  • A. hasGenomeType
    Indicates that an entity possesses or is characterized by a specific type or classification of genome.
  • B. hasGene
    Indicates that an entity possesses or contains a specific gene as part of its genetic makeup.
  • C. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • D. genomeSize
    Indicates the total amount of genetic material (e.g., in base pairs) contained in an organism’s genome.
  • E. hasBalancerChromosomes
    Indicates that an organism or genetic sample possesses balancer chromosomes used to maintain specific genetic configurations or prevent recombination.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535e450c8190a2628245ae0d0bd3 completed April 20, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bbedf081908d801600e2af94a7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:48 p.m.