Triple

T18731888
Position Surface form Disambiguated ID Type / Status
Subject Creative Europe E458053 entity
Predicate hasSubProgramme P42417 FINISHED
Object Culture sub-programme 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: Culture sub-programme | Statement: [Creative Europe, hasSubProgramme, Culture sub-programme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubProgramme
Context triple: [Creative Europe, hasSubProgramme, Culture sub-programme]
  • A. hasChildrenPrograms chosen
    Indicates that a program serves as a parent to one or more subordinate or derived programs.
  • B. hasParentProgram
    Indicates that a given program is hierarchically contained within or derived from another, higher-level program that serves as its parent.
  • C. hasProgramme
    Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
  • D. hasGlobalProgramme
    Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
  • E. subsidiaryProgram
    Indicates that one program operates under, and is organizationally subordinate to, another primary or parent program.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69e48d03766c8190a43f7681842f4f8d completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:51 a.m.