Triple
T10123532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilapia lake virus |
E223354
|
entity |
| Predicate | controlMeasures |
P31419
|
FINISHED |
| Object | biosecurity measures on farms |
—
|
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: biosecurity measures on farms | Statement: [Tilapia lake virus, controlMeasures, biosecurity measures on farms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlMeasures Context triple: [Tilapia lake virus, controlMeasures, biosecurity measures on farms]
-
A.
controlMeasure
chosen
Indicates a relationship where one entity implements or applies a method, action, or mechanism to regulate, mitigate, or manage a risk, process, or condition associated with another entity.
-
B.
protectionMeasures
Indicates actions or safeguards implemented to prevent harm, damage, or risk to someone or something.
-
C.
controlMethods
Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
-
D.
countermeasureCategory
Indicates the classification type or category to which a given countermeasure belongs.
-
E.
controlInnovation
Indicates that one entity directs, regulates, or significantly influences the innovation activities or outcomes of 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_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. |
Created at: March 30, 2026, 9:05 p.m.