Triple
T21466313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echinococcus granulosus |
E529601
|
entity |
| Predicate | zoonosis |
P40200
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Echinococcus granulosus, zoonosis, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoonosis Context triple: [Echinococcus granulosus, zoonosis, true]
-
A.
zoonosisAgent
Indicates that an agent (such as a pathogen or vector) is responsible for causing a zoonotic disease transmitted between animals and humans.
-
B.
zoonoticPotential
chosen
Indicates the potential for a disease or pathogen to be transmitted from animals to humans.
-
C.
zoonoticOriginSuspected
Indicates that a disease or pathogen is suspected to have originated in animals and then been transmitted to humans.
-
D.
zoonMeans
Indicates that one entity expresses, defines, or conveys the meaning of another entity.
-
E.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
- 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.