Triple
T1757984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phytophthora infestans |
E38592
|
entity |
| Predicate | infectionSite |
P6647
|
FINISHED |
| Object | potato leaves |
—
|
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: potato leaves | Statement: [Phytophthora infestans, infectionSite, potato leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionSite Context triple: [Phytophthora infestans, infectionSite, potato leaves]
-
A.
infectsTissue
chosen
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
B.
apseLocation
Indicates the specific place or position where an apse is situated within a larger structure or context.
-
C.
administeredIn
Indicates that an action, treatment, or process is carried out or applied within a specific location, context, or jurisdiction.
-
D.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
E.
examinationLocation
Indicates the place or setting where an examination or test is conducted.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.