Triple

T37260245
Position Surface form Disambiguated ID Type / Status
Subject South Africa–South Korea relations E924237 entity
Predicate bothCountriesAreMembersOf P17966 FINISHED
Object United Nations NE NERFINISHED

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: United Nations | Statement: [South Africa–South Korea relations, bothCountriesAreMembersOf, United Nations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bothCountriesAreMembersOf
Context triple: [South Africa–South Korea relations, bothCountriesAreMembersOf, United Nations]
  • A. hasNonRegionalMemberCountries
    Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
  • B. nonEuroMembersMayParticipateIn
    Indicates that entities which are not members of the Euro area are allowed to take part in a specified activity, process, or arrangement.
  • C. memberStatesAreMemberOf chosen
    Indicates that certain states belong to or hold membership in a particular organization, group, or union.
  • D. OSCEMember
    Indicates that an entity is a member of, or affiliated with, the OSC (Open Source Community or similarly named organization).
  • E. hasRegionalOrganizationMembershipOfCountry
    Indicates that a country is a member of a specified regional organization.
  • 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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb4134225081909fd60703b8cae397 completed May 6, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69fb35bf767081908de8345358ca7f44 completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:15 p.m.