Triple

T1283873
Position Surface form Disambiguated ID Type / Status
Subject Mpumalanga E27387 entity
Predicate hasMajorCity P316 FINISHED
Object Emalahleni
Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
 E174949 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: Emalahleni | Statement: [Mpumalanga, hasMajorCity, Emalahleni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emalahleni
Context triple: [Mpumalanga, hasMajorCity, Emalahleni]
  • 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. Polokwane
    Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
  • C. Mbombela
    Mbombela is a city in northeastern South Africa that serves as a regional economic and administrative hub near the border with Mozambique.
  • D. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • E. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • 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: Emalahleni
Triple: [Mpumalanga, hasMajorCity, Emalahleni]
Generated description
Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emalahleni
Target entity description: Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • 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. Polokwane
    Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
  • C. Mbombela
    Mbombela is a city in northeastern South Africa that serves as a regional economic and administrative hub near the border with Mozambique.
  • D. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • E. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293872cc8190894581cff289627e completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2cfb8c4c8190b47406be414850ab completed March 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad2ded1d548190b0c51c460a751017 completed March 8, 2026, 8:06 a.m.
Created at: March 1, 2026, 7:50 p.m.