Triple
T11466508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium |
E271793
|
entity |
| Predicate | stainingProperty |
P99727
|
FINISHED |
| Object | resistant to decolorization by acid-alcohol |
—
|
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: resistant to decolorization by acid-alcohol | Statement: [Mycobacterium, stainingProperty, resistant to decolorization by acid-alcohol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stainingProperty Context triple: [Mycobacterium, stainingProperty, resistant to decolorization by acid-alcohol]
-
A.
stainMethod
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.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
D.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
E.
stoneColor
Indicates that one entity has a particular color attribute associated with a stone.
- F. None of above. chosen
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. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.