Triple

T11466587
Position Surface form Disambiguated ID Type / Status
Subject Ziehl–Neelsen stain E271795 entity
Predicate alsoKnownAs P39 FINISHED
Object ZN stain
ZN stain is a microbiological staining technique used to detect acid-fast organisms, particularly Mycobacterium species such as the tuberculosis bacillus.
 E928060 NE FINISHED

How this triple was built (4 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: ZN stain | Statement: [Ziehl–Neelsen stain, alsoKnownAs, ZN stain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZN stain
Context triple: [Ziehl–Neelsen stain, alsoKnownAs, ZN stain]
  • A. Stains
    Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
  • B. Stain
    Stain is a minor character from the animated television series "Rocket Power," known for being part of the show's ensemble of kids involved in extreme sports adventures.
  • C. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • D. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • E. AZO
    AZO is the IATA airport code for Kalamazoo/Battle Creek International Airport in Michigan, United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZN stain
Triple: [Ziehl–Neelsen stain, alsoKnownAs, ZN stain]
Generated description
ZN stain is a microbiological staining technique used to detect acid-fast organisms, particularly Mycobacterium species such as the tuberculosis bacillus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZN stain
Target entity description: ZN stain is a microbiological staining technique used to detect acid-fast organisms, particularly Mycobacterium species such as the tuberculosis bacillus.
  • A. Stains
    Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
  • B. Stain
    Stain is a minor character from the animated television series "Rocket Power," known for being part of the show's ensemble of kids involved in extreme sports adventures.
  • C. ZNA
    ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
  • D. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • E. AZO
    AZO is the IATA airport code for Kalamazoo/Battle Creek International Airport in Michigan, United States.
  • F. None of above. chosen

Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9429a308190810b485708d28617 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.