Triple

T16489840
Position Surface form Disambiguated ID Type / Status
Subject European Capital of Culture 2009 E400539 entity
Predicate includesCityProgramme P94411 FINISHED
Object Vilnius 2009 cultural 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: Vilnius 2009 cultural programme | Statement: [European Capital of Culture 2009, includesCityProgramme, Vilnius 2009 cultural programme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesCityProgramme
Context triple: [European Capital of Culture 2009, includesCityProgramme, Vilnius 2009 cultural programme]
  • A. agencyProgramme
    Indicates that an agency is responsible for, manages, or is associated with a particular programme.
  • B. publicProgramsInclude chosen
    Indicates that a set of public programs contains or encompasses a particular program as one of its components.
  • C. coordinatesProgramsOf
    Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
  • D. 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).
  • E. supportsProgrammesOf
    Indicates that one entity provides assistance, resources, or endorsement to help another entity’s programmes operate or succeed.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2f31f48190825af5934d976ab7 completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:13 a.m.