Triple

T15222724
Position Surface form Disambiguated ID Type / Status
Subject Finlandization E363800 entity
Predicate examplePolicyElement P61392 FINISHED
Object consultation with stronger power on major foreign policy decisions 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: consultation with stronger power on major foreign policy decisions | Statement: [Finlandization, examplePolicyElement, consultation with stronger power on major foreign policy decisions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: examplePolicyElement
Context triple: [Finlandization, examplePolicyElement, consultation with stronger power on major foreign policy decisions]
  • A. policyElement chosen
    Indicates that something is a component or constituent part of a broader policy.
  • B. establishedPolicy
    Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
  • C. containsPolicyOn
    Indicates that one entity includes, references, or incorporates a specific policy within it.
  • D. implementsPolicyFrom
    Indicates that one entity carries out, enforces, or operationalizes a policy that originates from another entity.
  • E. eraPolicy
    Indicates that a specific policy was in effect during a particular historical or temporal era.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00788b04881909dad9b346ce3b4a9 completed April 15, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69deca8479188190b2e5d3bc708d7d07 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:12 a.m.