Triple

T31400915
Position Surface form Disambiguated ID Type / Status
Subject Swedish Prosecution Authority E800992 entity
Predicate policyInfluencedBy P31469 FINISHED
Object EU law in the field of criminal justice 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: EU law in the field of criminal justice | Statement: [Swedish Prosecution Authority, policyInfluencedBy, EU law in the field of criminal justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyInfluencedBy
Context triple: [Swedish Prosecution Authority, policyInfluencedBy, EU law in the field of criminal justice]
  • A. rulesInfluence
    Indicates that one set of rules or regulations has an effect on, shapes, or constrains another entity, process, or outcome.
  • B. inspiredByPolicy chosen
    Indicates that an action, decision, or entity is motivated, guided, or shaped by a specific policy or set of policies.
  • C. influencedPolicyArea
    Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
  • D. ruleInfluence
    Indicates that one rule affects, constrains, or modifies the behavior, outcome, or applicability of another rule.
  • E. influenceOf
    Indicates that one entity affects, shapes, or alters the state, behavior, or properties 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_69f224ea9998819086ae2e4f4f4091c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 29, 2026, 9:19 p.m.