Triple
T26450271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taphrinomycotina |
E665328
|
entity |
| Predicate | includesPlantPathogens |
P31424
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Taphrinomycotina, includesPlantPathogens, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPlantPathogens Context triple: [Taphrinomycotina, includesPlantPathogens, true]
-
A.
causesDiseaseInPlants
Indicates that one entity is responsible for causing a disease or pathological condition in plants.
-
B.
includesPathogensOf
chosen
Indicates that one entity contains or encompasses the pathogens that are associated with or originate from another entity.
-
C.
plantDiseaseType
Indicates the specific kind or category of disease that affects a plant.
-
D.
usesHostPlant
Indicates that one organism relies on a particular plant species as its host for feeding, development, or reproduction.
-
E.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 27, 2026, 12:05 a.m.