Triple
T11466594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziehl–Neelsen stain |
E271795
|
entity |
| Predicate | counterstain |
P40196
|
FINISHED |
| Object | methylene blue |
—
|
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: methylene blue | Statement: [Ziehl–Neelsen stain, counterstain, methylene blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterstain Context triple: [Ziehl–Neelsen stain, counterstain, methylene blue]
-
A.
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).
-
B.
stainMethod
chosen
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
C.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
D.
maskColor
Indicates the color attribute associated with a mask.
-
E.
crossTincture
Indicates that one entity bears or displays a cross whose tincture (heraldic color or pattern) is specified or characterized in relation to another entity.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.