Triple
T22368191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichosphaeria sacchari |
E552964
|
entity |
| Predicate | diseaseContext |
P147387
|
FINISHED |
| Object | sugarcane diseases |
—
|
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: sugarcane diseases | Statement: [Trichosphaeria sacchari, diseaseContext, sugarcane diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseContext Context triple: [Trichosphaeria sacchari, diseaseContext, sugarcane diseases]
-
A.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
B.
humanDisease
Indicates that the subject is a disease that affects humans.
-
C.
basedOnDisease
Indicates that something (such as a decision, classification, or action) is determined or derived on the basis of a particular disease or disease-related information.
-
D.
diseaseUsed
Indicates that a particular disease is employed or utilized as a tool, model, or condition within a given context or process.
-
E.
clinicalContext
Indicates the medical situation, setting, or circumstances under which a clinical finding, observation, or action occurs.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580229688190a6e5e02b484033f7 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.