Triple
T8813225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melilotus |
E209714
|
entity |
| Predicate | sweetCloverDiseaseCause |
P61998
|
FINISHED |
| Object | dicoumarol formation in moldy plant material |
—
|
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: dicoumarol formation in moldy plant material | Statement: [Melilotus, sweetCloverDiseaseCause, dicoumarol formation in moldy plant material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetCloverDiseaseCause Context triple: [Melilotus, sweetCloverDiseaseCause, dicoumarol formation in moldy plant material]
-
A.
causeOfIllness
chosen
Indicates that one entity is the reason or source responsible for another entity’s illness or disease.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
pollinationSyndrome
Indicates the type of pollinator or pollination mechanism with which an organism’s flowers are evolutionarily associated.
-
D.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
E.
relatedDiseaseComplex
Indicates that there is a complex or multifaceted disease relationship between the associated entities, often involving multiple conditions, factors, or mechanisms.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff02e9c819080a8e45ba9ca044e |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.