Triple

T2031785
Position Surface form Disambiguated ID Type / Status
Subject Gallery of Modern Art (Glasgow) E44532 entity
Predicate hasPublicPrograms P15106 FINISHED
Object talks and workshops 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: talks and workshops | Statement: [Gallery of Modern Art (Glasgow), hasPublicPrograms, talks and workshops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicPrograms
Context triple: [Gallery of Modern Art (Glasgow), hasPublicPrograms, talks and workshops]
  • A. hasPublicProgram chosen
    Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
  • B. 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).
  • C. hasOnlinePrograms
    Indicates that an entity offers or provides programs, courses, or services that are available online.
  • 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. offersProgramsIn
    Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9313134819088133fb69b8f606f completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb7a8125881909c0cb58b777c1faa completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:38 p.m.