Triple

T5817123
Position Surface form Disambiguated ID Type / Status
Subject European Court of Auditors E129013 entity
Predicate auditScope P11084 FINISHED
Object EU budget 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 budget | Statement: [European Court of Auditors, auditScope, EU budget]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: auditScope
Context triple: [European Court of Auditors, auditScope, EU budget]
  • A. oversightScope chosen
    Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
  • B. accessScope
    Indicates the extent or boundaries of access that one entity has to another entity or resource.
  • C. coverageScope
    Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
  • D. reviewScope
    Indicates the extent, boundaries, or aspects of something that are covered, considered, or evaluated during a review.
  • E. organizationalScope
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0333fdd7081908d829265caa2ac11 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:53 p.m.