Triple

T2472320
Position Surface form Disambiguated ID Type / Status
Subject Foreign Malign Influence Center E55004 entity
Predicate threatTypeMonitored P39679 FINISHED
Object foreign state-sponsored disinformation 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: foreign state-sponsored disinformation | Statement: [Foreign Malign Influence Center, threatTypeMonitored, foreign state-sponsored disinformation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: threatTypeMonitored
Context triple: [Foreign Malign Influence Center, threatTypeMonitored, foreign state-sponsored disinformation]
  • A. threatTypeAddressed
    Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
  • B. threatTypeEngaged
    Indicates that an entity has actively engaged with or responded to a specific type of threat.
  • C. threatCategory
    Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
  • D. threatStatus
    Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
  • E. recognizesThreat
    Indicates that an entity identifies or acknowledges another entity or situation as a potential danger or source of harm.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b5e3d481909a5cbc4a96edd24f completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1e45380819094b3f32a278bd457 completed March 7, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:45 p.m.