Triple
T6307351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venturia inaequalis |
E141409
|
entity |
| Predicate | pathogenicityFactor |
P40198
|
FINISHED |
| Object | ability to overcome host resistance genes |
—
|
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: ability to overcome host resistance genes | Statement: [Venturia inaequalis, pathogenicityFactor, ability to overcome host resistance genes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pathogenicityFactor Context triple: [Venturia inaequalis, pathogenicityFactor, ability to overcome host resistance genes]
-
A.
pathogenicity
Indicates that one entity has the capacity to cause disease or harmful pathological effects in another entity.
-
B.
virulenceFactor
chosen
Indicates that an entity contributes to the ability of a pathogen to infect, damage, or evade the defenses of its host.
-
C.
pathogenicityToHumans
Indicates that an entity has the capacity to cause disease or harmful health effects in humans.
-
D.
pathogenicMechanism
Indicates the specific biological process or mechanism through which an agent causes disease or pathological effects in a host.
-
E.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647b69f08190bb085f9b700f6453 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.