Triple

T10625279
Position Surface form Disambiguated ID Type / Status
Subject United States–South Africa relations E250305 entity
Predicate sometimesCharacterizedAs P89493 FINISHED
Object strategic partnership 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: strategic partnership | Statement: [United States–South Africa relations, sometimesCharacterizedAs, strategic partnership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sometimesCharacterizedAs
Context triple: [United States–South Africa relations, sometimesCharacterizedAs, strategic partnership]
  • A. characterizedBy
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. isSometimesClassifiedAs
    Indicates that an entity is occasionally, but not consistently or universally, categorized under a particular type or class.
  • C. relationshipCharacterizedAs chosen
    Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
  • D. scopeCharacterization
    Indicates how the extent, boundaries, or coverage of something is defined, described, or qualified in relation to another entity or context.
  • E. languageCharacterizedBy
    Indicates that a language is defined or distinguished by a particular feature, property, or characteristic.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df80a30c81909f36fe221cf68822 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:54 p.m.