Ziehl–Neelsen stain
E271795
Ziehl–Neelsen stain is a classic acid-fast staining technique used in microbiology to visualize Mycobacterium species, especially Mycobacterium tuberculosis, in clinical specimens.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Ziehl–Neelsen stain canonical | 2 |
| Kinyoun stain | 1 |
| carbol fuchsin acid-fast stain | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2504137 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Ziehl–Neelsen stain Context triple: [Mycobacterium tuberculosis, stainMethod, Ziehl–Neelsen stain]
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A.
Leigh-Mallory
Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
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B.
Sherbert test
The Sherbert test is a U.S. constitutional law standard that evaluates whether government actions improperly burden an individual's free exercise of religion by requiring a compelling interest pursued through the least restrictive means.
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C.
BCG vaccine
The BCG vaccine is a widely used immunization that primarily protects against severe forms of tuberculosis, especially in young children.
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D.
Feigl
Feigl is a German-language surname borne by various notable individuals, including philosophers, scientists, and artists.
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E.
Mycobacterium tuberculosis
Mycobacterium tuberculosis is the pathogenic bacterial species that causes most cases of human tuberculosis, primarily affecting the lungs and spreading through airborne transmission.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Ziehl–Neelsen stain Target entity description: Ziehl–Neelsen stain is a classic acid-fast staining technique used in microbiology to visualize Mycobacterium species, especially Mycobacterium tuberculosis, in clinical specimens.
-
A.
Leigh-Mallory
Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
-
B.
Sherbert test
The Sherbert test is a U.S. constitutional law standard that evaluates whether government actions improperly burden an individual's free exercise of religion by requiring a compelling interest pursued through the least restrictive means.
-
C.
BCG vaccine
The BCG vaccine is a widely used immunization that primarily protects against severe forms of tuberculosis, especially in young children.
-
D.
Feigl
Feigl is a German-language surname borne by various notable individuals, including philosophers, scientists, and artists.
-
E.
Mycobacterium tuberculosis
Mycobacterium tuberculosis is the pathogenic bacterial species that causes most cases of human tuberculosis, primarily affecting the lungs and spreading through airborne transmission.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
acid-fast stain
ⓘ
microbiology technique ⓘ staining technique ⓘ |
| alsoKnownAs |
ZN stain
ⓘ
Ziehl–Neelsen stain ⓘ
surface form:
carbol fuchsin acid-fast stain
|
| basedOn | acid-fastness ⓘ |
| category |
bacteriological staining
ⓘ
differential staining technique ⓘ |
| contrastWith |
Gram stain
ⓘ
Kinyoun stain ⓘ fluorochrome auramine–rhodamine stain ⓘ |
| counterstain |
malachite green
ⓘ
methylene blue ⓘ |
| decolorizer | acid-alcohol ⓘ |
| detectsOrganism |
Mycobacterium leprae
ⓘ
Mycobacterium tuberculosis ⓘ Nocardia asteroides ⓘ
surface form:
Nocardia species
other acid-fast bacilli ⓘ |
| developedBy |
Franz Ziehl
ⓘ
Friedrich Neelsen ⓘ |
| field |
medical microbiology
ⓘ
microbiology ⓘ |
| historicalSignificance | classic method for tuberculosis diagnosis ⓘ |
| microscopeType | bright-field microscope ⓘ |
| mordantOrAid | heat ⓘ |
| negativeResultAppearance | blue background ⓘ |
| positiveResultAppearance | red bacilli ⓘ |
| primaryStain | carbol fuchsin ⓘ |
| principle | acid-fast organisms resist decolorization by acid-alcohol ⓘ |
| requires | heating of primary stain ⓘ |
| safetyConsideration | requires biosafety precautions for infectious aerosols ⓘ |
| sampleType |
body fluids
ⓘ
sputum ⓘ tissue sections ⓘ |
| sensitivityComparedToCulture | lower ⓘ |
| specificityForAcidFastBacteria | high ⓘ |
| stainsStructure | mycobacterial cell wall ⓘ |
| stainsTarget | mycolic acids ⓘ |
| usedFor |
detection of Mycobacterium species
ⓘ
detection of Mycobacterium tuberculosis ⓘ diagnosis of tuberculosis ⓘ examination of clinical specimens ⓘ sputum smear microscopy ⓘ visualization of acid-fast bacteria ⓘ |
| usedIn |
resource-limited settings
ⓘ
tuberculosis control programs ⓘ |
| visualizationMethod | light microscopy ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Ziehl–Neelsen stain Description of subject: Ziehl–Neelsen stain is a classic acid-fast staining technique used in microbiology to visualize Mycobacterium species, especially Mycobacterium tuberculosis, in clinical specimens.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.