Triple
T17514711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichinellidae |
E426538
|
entity |
| Predicate | zoonoticImportance |
P40200
|
FINISHED |
| Object | major foodborne zoonotic parasites |
—
|
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: major foodborne zoonotic parasites | Statement: [Trichinellidae, zoonoticImportance, major foodborne zoonotic parasites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoonoticImportance Context triple: [Trichinellidae, zoonoticImportance, major foodborne zoonotic parasites]
-
A.
zoonoticPotential
chosen
Indicates the potential for a disease or pathogen to be transmitted from animals to humans.
-
B.
pathogenicityToHumans
Indicates that an entity has the capacity to cause disease or harmful health effects in 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.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.