Triple

T682533
Position Surface form Disambiguated ID Type / Status
Subject United Nations Office at Nairobi E13212 entity
Predicate hasUNRegionalRole P17492 FINISHED
Object African hub for UN operations 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: African hub for UN operations | Statement: [United Nations Office at Nairobi, hasUNRegionalRole, African hub for UN operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUNRegionalRole
Context triple: [United Nations Office at Nairobi, hasUNRegionalRole, African hub for UN operations]
  • A. hasInternationalOrganizationRole
    Indicates that an entity holds or has held a specific role, position, or function within an international organization.
  • B. typeOfDiplomaticRole
    Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
  • C. hasUNOrgan
    Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
  • D. diplomaticRole
    Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
  • E. hasUNStatus
    Indicates that an entity holds a particular formal status or recognition within the United Nations system.
  • F. None of above. chosen

Provenance (4 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06f9ee88190a2d757aacd8e3f5b completed March 1, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69a49d1f0ccc819088c1527beabcb718 completed March 1, 2026, 8:10 p.m.
PDg Predicate description generation batch_69a49df19c9481909cc9bc33ed7f011b completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.