Triple

T37534337
Position Surface form Disambiguated ID Type / Status
Subject Mycobacterium chelonae E933153 entity
Predicate isGramStain P31416 FINISHED
Object acid-fast 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: acid-fast | Statement: [Mycobacterium chelonae, isGramStain, acid-fast]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isGramStain
Context triple: [Mycobacterium chelonae, isGramStain, acid-fast]
  • A. gramStain chosen
    Indicates the result of a Gram staining procedure, specifying how an organism or sample reacts to the Gram stain (e.g., Gram-positive or Gram-negative).
  • B. bacteriumIdentifiedIn
    Indicates that a specific bacterium has been detected, recognized, or confirmed as present in a particular sample, environment, or host.
  • C. isMicroorganism
    Indicates that an entity is a microscopic living organism, such as a bacterium, virus, fungus, or protozoan.
  • D. acidFast
    Indicates that an entity (typically a microorganism or cell component) retains certain dyes even after treatment with acid-alcohol, reflecting resistance to decolorization in acid-fast staining.
  • E. specificityForAcidFastBacteria
    Indicates the degree to which something (e.g., a test, stain, or method) is specifically able to detect or distinguish acid-fast bacteria as opposed to other organisms or substances.
  • 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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba5eec0448190a5e6f0c43fdcd0e3 completed May 6, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69fba34edd548190bfa980e6e16e0a88 completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.