Triple

T759389
Position Surface form Disambiguated ID Type / Status
Subject Johannesburg E16031 entity
Predicate nickname P55 FINISHED
Object Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
E94561 NE FINISHED

How this triple was built (4 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: Egoli | Statement: [Johannesburg, nickname, Egoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egoli
Context triple: [Johannesburg, nickname, Egoli]
  • A. Mthatha
    Mthatha is a town in South Africa known as a regional economic and administrative center in the Eastern Cape and as the birthplace of Nelson Mandela.
  • B. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • C. Bloemfontein
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • D. East London
    East London is a major port city on South Africa’s southeast coast, known for its beaches along the Indian Ocean and its role as an industrial and commercial hub.
  • E. Midrand
    Midrand is a rapidly growing commercial and residential area in South Africa strategically located between Johannesburg and Pretoria in the province of Gauteng.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Egoli
Triple: [Johannesburg, nickname, Egoli]
Generated description
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Egoli
Target entity description: Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • A. Mthatha
    Mthatha is a town in South Africa known as a regional economic and administrative center in the Eastern Cape and as the birthplace of Nelson Mandela.
  • B. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • C. Bloemfontein
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • D. East London
    East London is a major port city on South Africa’s southeast coast, known for its beaches along the Indian Ocean and its role as an industrial and commercial hub.
  • E. Midrand
    Midrand is a rapidly growing commercial and residential area in South Africa strategically located between Johannesburg and Pretoria in the province of Gauteng.
  • F. None of above. chosen

Provenance (5 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a67f9778819098d3c144dd26b976 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef89a848190beaf6d1dab0ae331 completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a682ddc2a48190a1c8418e496674b2 completed March 3, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69a683366f548190a2b804e0cd625e92 completed March 3, 2026, 6:44 a.m.
Created at: March 1, 2026, 7:37 p.m.