Triple
T21466415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schistosomatidae |
E529603
|
entity |
| Predicate | diseaseInAnimals |
P122679
|
FINISHED |
| Object | avian schistosomiasis |
—
|
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: avian schistosomiasis | Statement: [Schistosomatidae, diseaseInAnimals, avian schistosomiasis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseInAnimals Context triple: [Schistosomatidae, diseaseInAnimals, avian schistosomiasis]
-
A.
involvedAnimal
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
B.
zoonosisAgent
Indicates that an agent (such as a pathogen or vector) is responsible for causing a zoonotic disease transmitted between animals and humans.
-
C.
OIEListedDisease
Indicates that a disease is included on the official list of notifiable animal diseases maintained by the World Organisation for Animal Health (OIE/WOAH).
-
D.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
-
E.
veterinaryRelevance
chosen
Indicates that something has significance, applicability, or importance within veterinary medicine or animal healthcare contexts.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:11 p.m.