Triple

T38646354
Position Surface form Disambiguated ID Type / Status
Subject Aerococcus E938725 entity
Predicate antimicrobialResistance P81151 FINISHED
Object variable resistance to fluoroquinolones 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: variable resistance to fluoroquinolones | Statement: [Aerococcus, antimicrobialResistance, variable resistance to fluoroquinolones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: antimicrobialResistance
Context triple: [Aerococcus, antimicrobialResistance, variable resistance to fluoroquinolones]
  • A. isBacteriaResistant chosen
    Indicates that a bacterium is not inhibited or killed by a particular antibiotic or antimicrobial treatment.
  • B. drugSusceptibility
    Indicates that one entity (typically a microorganism, cell, or condition) is vulnerable or responsive to the effects of a specified drug or therapeutic agent.
  • C. bacteriumIdentifiedIn
    Indicates that a specific bacterium has been detected, recognized, or confirmed as present in a particular sample, environment, or host.
  • D. blastResistance
    Indicates the degree to which something can withstand or resist damage from an explosion or blast.
  • E. isResistant
    Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
  • 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.