Triple

T11096779
Position Surface form Disambiguated ID Type / Status
Subject Internal Security Fund E262397 entity
Predicate partOfPolicyArea P26131 FINISHED
Object European Union area of freedom, security and justice E48490 NE FINISHED

How this triple was built (3 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: European Union area of freedom, security and justice | Statement: [Internal Security Fund, partOfPolicyArea, European Union area of freedom, security and justice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Union area of freedom, security and justice
Context triple: [Internal Security Fund, partOfPolicyArea, European Union area of freedom, security and justice]
  • A. European Union area of freedom, security and justice chosen
    The European Union area of freedom, security and justice is a policy and legal framework that aims to ensure free movement while coordinating member states’ cooperation on immigration, asylum, border control, police, and judicial matters.
  • B. European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice
    The European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice (eu-LISA) is an EU agency responsible for operating and developing key information systems that support border management, security, and justice cooperation across member states.
  • C. Justice and Home Affairs pillar
    The Justice and Home Affairs pillar was a key component of the European Union’s pre-Lisbon structure that coordinated intergovernmental cooperation on issues such as immigration, asylum, policing, and judicial matters.
  • D. Schengen Area
    The Schengen Area is a zone of European countries that have abolished internal border controls to allow passport-free movement of people across most of the continent.
  • E. European Union Justice and Home Affairs agencies network
    The European Union Justice and Home Affairs agencies network is a collaborative framework that brings together EU agencies working on justice, security, migration, and fundamental rights to coordinate policies and operational cooperation across member states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfPolicyArea
Context triple: [Internal Security Fund, partOfPolicyArea, European Union area of freedom, security and justice]
  • A. isPartOfPolicyArea chosen
    Indicates that one policy, topic, or issue belongs to, falls under, or is categorized within a broader policy area or domain.
  • B. commonPolicyArea
    Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
  • C. coversPolicyArea
    Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
  • D. policyAreaScope
    Indicates the specific policy domain or thematic area to which an action, decision, or measure is relevant or applies.
  • E. supportsPolicyArea
    Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
  • F. None of above.

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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441bb14d08190ac01bf3daa34ae43 completed April 19, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.