Triple
T7895168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Kournikova virus |
E183325
|
entity |
| Predicate | mitigationMethod |
P49797
|
FINISHED |
| Object | up‑to‑date antivirus software |
—
|
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: up‑to‑date antivirus software | Statement: [Anna Kournikova virus, mitigationMethod, up‑to‑date antivirus software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mitigationMethod Context triple: [Anna Kournikova virus, mitigationMethod, up‑to‑date antivirus software]
-
A.
controlMeasure
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
chosen
Indicates actions or safeguards implemented to prevent harm, damage, or risk to someone or something.
-
C.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
D.
hasEnvironmentalMitigation
Indicates that an entity has associated measures, actions, or features intended to reduce, offset, or manage its negative environmental impacts.
-
E.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.