Triple

T17570179
Position Surface form Disambiguated ID Type / Status
Subject Brugia timori E427914 entity
Predicate pathogenesis P68675 FINISHED
Object lymphatic vessel infection 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: lymphatic vessel infection | Statement: [Brugia timori, pathogenesis, lymphatic vessel infection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pathogenesis
Context triple: [Brugia timori, pathogenesis, lymphatic vessel infection]
  • A. pathogenicMechanism chosen
    Indicates the specific biological process or mechanism through which an agent causes disease or pathological effects in a host.
  • B. pathogenicity
    Indicates that one entity has the capacity to cause disease or harmful pathological effects in another entity.
  • C. targetsPathophysiology
    Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
  • D. pathologyFeature
    Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
  • E. pathogenicMember
    Indicates that an entity is a member of a group or set that is characterized as pathogenic (capable of causing disease).
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592fe8408190bd8fed1920ab3601 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.