Triple

T8587521
Position Surface form Disambiguated ID Type / Status
Subject Finnish Security Intelligence Service E203342 entity
Predicate typeOfThreatsMonitored P39679 FINISHED
Object terrorism 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: terrorism | Statement: [Finnish Security Intelligence Service, typeOfThreatsMonitored, terrorism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfThreatsMonitored
Context triple: [Finnish Security Intelligence Service, typeOfThreatsMonitored, terrorism]
  • A. threatsManaged
    Indicates that one entity takes responsibility for identifying, controlling, or mitigating risks or dangers affecting another entity or system.
  • B. threatTypeMonitored chosen
    Indicates that a particular type of threat is being actively observed, tracked, or watched for by some monitoring process or system.
  • C. recognizesThreat
    Indicates that an entity identifies or acknowledges another entity or situation as a potential danger or source of harm.
  • D. hasThreats
    Indicates that one entity poses or is associated with potential danger, harm, or adverse consequences toward another entity.
  • E. threatActorsMonitored
    Indicates that one entity actively observes, tracks, or analyzes the activities or status of specified threat actors.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c5e8888190b721e791c449b0df completed March 31, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cc454504448190aaad2af8b17357cd completed March 31, 2026, 10:05 p.m.
Created at: March 30, 2026, 6:23 p.m.