Triple
T11466590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziehl–Neelsen stain |
E271795
|
entity |
| Predicate | stainsTarget |
P860
|
FINISHED |
| Object | mycolic acids |
—
|
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: mycolic acids | Statement: [Ziehl–Neelsen stain, stainsTarget, mycolic acids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainsTarget Context triple: [Ziehl–Neelsen stain, stainsTarget, mycolic acids]
-
A.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
B.
stainMethod
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
C.
targetStrain
Indicates that one entity is the specific strain (e.g., genetic, microbial, or biological variant) that is the focus or objective of another entity’s action, study, or effect.
-
D.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
E.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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.