Triple
T1125850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiostoma novo-ulmi |
E24717
|
entity |
| Predicate | symptomInHost |
P2896
|
FINISHED |
| Object | wilting of 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: wilting of leaves | Statement: [Ophiostoma novo-ulmi, symptomInHost, wilting of leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symptomInHost Context triple: [Ophiostoma novo-ulmi, symptomInHost, wilting of leaves]
-
A.
symptom
chosen
Indicates that a particular condition, disease, or problem manifests through a specific observable sign or complaint.
-
B.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
C.
parasitizes
Indicates a relationship in which one organism lives on or in another organism, deriving nutrients or benefits at the host’s expense.
-
D.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
-
E.
symbiontType
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.