Triple

T27225102
Position Surface form Disambiguated ID Type / Status
Subject Urbana Regional Library E681388 entity
Predicate offersProgrammingFor P132307 FINISHED
Object all ages 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: all ages | Statement: [Urbana Regional Library, offersProgrammingFor, all ages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersProgrammingFor
Context triple: [Urbana Regional Library, offersProgrammingFor, all ages]
  • A. offersProgramsFor chosen
    Indicates that one entity provides or makes available specific programs or courses intended for another entity.
  • B. offersProgram
    Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
  • C. offersProgramsIn
    Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
  • D. offersProgramsThrough
    Indicates that one entity provides or delivers its programs, services, or courses by means of, or via the infrastructure or platform of, another entity.
  • E. offersCreativePrograms
    Indicates that an entity provides or makes available programs or activities designed to foster creativity or artistic expression for another entity or audience.
  • 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_69eefac9f64c8190a07490fe0c8b72a3 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: April 27, 2026, 9:44 a.m.