Triple

T7998960
Position Surface form Disambiguated ID Type / Status
Subject Pan Africanist Congress of Azania E186195 entity
Predicate usesTerm P2920 FINISHED
Object Azania for South Africa E186196 NE 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: Azania for South Africa | Statement: [Pan Africanist Congress of Azania, usesTerm, Azania for South Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azania for South Africa
Context triple: [Pan Africanist Congress of Azania, usesTerm, Azania for South Africa]
  • A. Azania chosen
    Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
  • B. Agang South Africa
    Agang South Africa is a South African political party founded in 2013 that advocates for clean governance, constitutionalism, and social justice.
  • C. Emgesa
    Emgesa is an energy company that operates hydroelectric power facilities in Colombia.
  • D. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • E. Atyapland
    Atyapland is the traditional homeland of the Atyap people in southern Kaduna State, Nigeria, known for its distinct ethnic identity, agrarian communities, and rich cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c9a12788190a5607a538f4e07c1 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe114372c819086f06e184d5ebde2 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.