Triple
T10123540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilapia lake virus |
E223354
|
entity |
| Predicate | OIEListedDisease |
P92109
|
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: [Tilapia lake virus, OIEListedDisease, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OIEListedDisease Context triple: [Tilapia lake virus, OIEListedDisease, true]
-
A.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
-
B.
zoonoticPotential
Indicates the potential for a disease or pathogen to be transmitted from animals to humans.
-
C.
isEndemicTo
Indicates that something naturally occurs and is restricted to a particular geographic area or region.
-
D.
diseaseVectorGenus
Indicates that one entity is the biological genus of organisms that serve as vectors transmitting the disease associated with the other 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. chosen
Provenance (4 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ea7fe88190acb08d292a794638 |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:05 p.m.