Triple
T11466506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium |
E271793
|
entity |
| Predicate | stainingMethod |
P40196
|
FINISHED |
| Object | Ziehl–Neelsen stain |
E271795
|
NE FINISHED |
How this triple was built (3 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: Ziehl–Neelsen stain | Statement: [Mycobacterium, stainingMethod, Ziehl–Neelsen stain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziehl–Neelsen stain Context triple: [Mycobacterium, stainingMethod, Ziehl–Neelsen stain]
-
A.
Ziehl–Neelsen stain
chosen
Ziehl–Neelsen stain is a classic acid-fast staining technique used in microbiology to visualize Mycobacterium species, especially Mycobacterium tuberculosis, in clinical specimens.
-
B.
Lowenstein–Jensen medium
Lowenstein–Jensen medium is a specialized egg-based solid growth medium used primarily for the isolation and cultivation of Mycobacterium species, especially Mycobacterium tuberculosis, in clinical microbiology.
-
C.
Kato-Katz thick smear
Kato-Katz thick smear is a parasitological stool examination technique widely used to quantify helminth eggs, especially for diagnosing intestinal schistosomiasis and soil-transmitted helminth infections.
-
D.
Aguilar–Spinelli test
The Aguilar–Spinelli test is a former U.S. legal standard that strictly governed when hearsay information from informants could establish probable cause for search warrants, requiring proof of both the informant’s basis of knowledge and veracity.
-
E.
Formazza
Formazza is a mountainous Italian municipality in the Piedmont region, known for its alpine landscapes, waterfalls, and Walser cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainingMethod Context triple: [Mycobacterium, stainingMethod, Ziehl–Neelsen stain]
-
A.
stainMethod
chosen
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
B.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
C.
gramStain
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).
-
D.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
E.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
- F. None of above.
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.