Triple

T2277980
Position Surface form Disambiguated ID Type / Status
Subject Umkhonto we Sizwe E51215 entity
Predicate legalStatusBefore1990 P28623 FINISHED
Object banned organization in South Africa 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: banned organization in South Africa | Statement: [Umkhonto we Sizwe, legalStatusBefore1990, banned organization in South Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusBefore1990
Context triple: [Umkhonto we Sizwe, legalStatusBefore1990, banned organization in South Africa]
  • A. legalStatusAfter1792
    Indicates the legal status or condition that an entity held after the year 1792.
  • B. legalStatusAfterWar
    Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
  • C. statusIn1945
    Indicates the condition, role, or classification an entity had specifically during the year 1945.
  • D. constitutionalStatusBeforeMerger
    Indicates the constitutional or legal status an entity held prior to being merged into another entity or structure.
  • E. historicalStatusOf chosen
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc217b6648190be77d2176d322efd completed March 7, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69abbdb9aa3c819088d0316c5269a1c2 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.