Triple

T14426959
Position Surface form Disambiguated ID Type / Status
Subject Yersiniaceae E357720 entity
Predicate notableSpecies P965 FINISHED
Object Yersinia enterocolitica E357719 NE 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: Yersinia enterocolitica | Statement: [Yersiniaceae, notableSpecies, Yersinia enterocolitica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yersinia enterocolitica
Context triple: [Yersiniaceae, notableSpecies, Yersinia enterocolitica]
  • A. Yersinia chosen
    Yersinia is a genus of Gram-negative bacteria that includes several pathogenic species, most notably Yersinia pestis, the causative agent of plague.
  • B. Arcobacter
    Arcobacter is a genus of Gram-negative, spiral-shaped bacteria commonly associated with animals and environmental water sources, some species of which can cause gastrointestinal illness in humans.
  • C. Francisella tularensis
    Francisella tularensis is a highly infectious, gram-negative bacterium that causes tularemia and is considered a serious potential bioterrorism agent.
  • D. Shigella
    Shigella is a genus of Gram-negative, rod-shaped bacteria known for causing shigellosis, a severe form of bacterial dysentery in humans.
  • E. Erwinia
    Erwinia is a genus of plant-pathogenic bacteria known for causing diseases such as fire blight in fruit trees and soft rot in various crops.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de911398f08190be85bc0a8bef6b1b completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:18 a.m.