Triple

T34864653
Position Surface form Disambiguated ID Type / Status
Subject Euroregions E1004977 entity
Predicate mayUseFramework P9089 FINISHED
Object European Grouping of Territorial Cooperation NE NERFINISHED

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: European Grouping of Territorial Cooperation | Statement: [Euroregions, mayUseFramework, European Grouping of Territorial Cooperation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayUseFramework
Context triple: [Euroregions, mayUseFramework, European Grouping of Territorial Cooperation]
  • A. mayAllowUse
    Indicates that one entity has the potential or permission to allow another entity to use or access something.
  • B. mayUseProtocol
    Indicates that an entity is permitted or authorized to employ a specified protocol for communication or operation.
  • C. appliesFramework chosen
    Indicates that one entity uses or implements a particular framework in relation to another entity or context.
  • D. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • E. frameworkFor
    Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.