Triple

T35877399
Position Surface form Disambiguated ID Type / Status
Subject Ogawa E1037404 entity
Predicate causativeAgentOf P51727 FINISHED
Object cholera (when present in toxigenic Vibrio cholerae strains) 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: cholera (when present in toxigenic Vibrio cholerae strains) | Statement: [Ogawa, causativeAgentOf, cholera (when present in toxigenic Vibrio cholerae strains)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causativeAgentOf
Context triple: [Ogawa, causativeAgentOf, cholera (when present in toxigenic Vibrio cholerae strains)]
  • A. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. isPathogenOf chosen
    Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
  • C. possibleCauseOf
    Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
  • D. causesDiseaseType
    Indicates that one entity is responsible for causing a specific type or category of disease in another entity.
  • E. causeStatedByPerpetrators
    Indicates that the stated cause or reason for an event or action is the one explicitly given by the perpetrators themselves.
  • 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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.