Triple

T1712029
Position Surface form Disambiguated ID Type / Status
Subject DNSSEC E37203 entity
Predicate mitigates P9925 FINISHED
Object DNS cache poisoning 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: DNS cache poisoning | Statement: [DNSSEC, mitigates, DNS cache poisoning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mitigates
Context triple: [DNSSEC, mitigates, DNS cache poisoning]
  • A. reduces chosen
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • B. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • C. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • D. relievedBy
    Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
  • E. neutralized
    Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.