Triple

T3439050
Position Surface form Disambiguated ID Type / Status
Subject Yersinia pestis E72523 entity
Predicate CDCClassification P20157 FINISHED
Object Category A bioterrorism agent 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: Category A bioterrorism agent | Statement: [Yersinia pestis, CDCClassification, Category A bioterrorism agent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: CDCClassification
Context triple: [Yersinia pestis, CDCClassification, Category A bioterrorism agent]
  • A. classificationByUS chosen
    Indicates a relationship where an entity is assigned a category, status, or type according to a classification system defined or used by the United States.
  • B. doctrineClassification
    Indicates how a particular doctrine is categorized or classified within a defined system of doctrinal types.
  • C. areClassifiedBy
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • D. governingClassification
    Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
  • E. UICClassification
    Indicates the standardized classification or coding assigned to an entity according to the UIC (International Union of Railways) system.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f6de1481909b789f4b0e1113d3 completed March 8, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.