Triple

T12405469
Position Surface form Disambiguated ID Type / Status
Subject United Nations libraries E296372 entity
Predicate focusesOnSubjectArea P31 FINISHED
Object activities of the United Nations 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: activities of the United Nations | Statement: [United Nations libraries, focusesOnSubjectArea, activities of the United Nations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnSubjectArea
Context triple: [United Nations libraries, focusesOnSubjectArea, activities of the United Nations]
  • A. primarySubjectArea
    Indicates the main academic or topical field to which something (such as a work, course, or resource) is most centrally related.
  • B. disciplinaryFocus
    Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
  • C. categoryFocus
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
  • D. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • E. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.