Triple
T23876452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnomonia leptostyla |
E592878
|
entity |
| Predicate | firstInfectionSource |
P73776
|
FINISHED |
| Object | overwintered leaf debris |
—
|
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: overwintered leaf debris | Statement: [Gnomonia leptostyla, firstInfectionSource, overwintered leaf debris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInfectionSource Context triple: [Gnomonia leptostyla, firstInfectionSource, overwintered leaf debris]
-
A.
primaryInfectionStructure
Indicates the structure that serves as the main or initial means by which an infection is established in a host.
-
B.
firstIsolationPlace
Indicates the location where an entity was initially placed into isolation for the first time.
-
C.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
D.
infectionMethod
chosen
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
E.
firstDetectedOn
Indicates the date or time when something was initially observed, discovered, or recorded for the first time.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.