Triple

T6472595
Position Surface form Disambiguated ID Type / Status
Subject Mopani District Municipality E145990 entity
Predicate provinceSeat P16248 FINISHED
Object Polokwane
Polokwane is a major city in South Africa’s Limpopo Province, serving as an important administrative, economic, and transport hub for the region.
 E124879 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: Polokwane | Statement: [Mopani District Municipality, provinceSeat, Polokwane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Polokwane
Context triple: [Mopani District Municipality, provinceSeat, Polokwane]
  • A. 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.
  • B. 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.
  • 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. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • E. Emalahleni
    Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • 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: Polokwane
Triple: [Mopani District Municipality, provinceSeat, Polokwane]
Generated description
Polokwane is a major city in South Africa’s Limpopo Province, serving as an important administrative, economic, and transport hub for the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Polokwane
Target entity description: Polokwane is a major city in South Africa’s Limpopo Province, serving as an important administrative, economic, and transport hub for the region.
  • A. Polokwane chosen
    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.
  • B. 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.
  • 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. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • E. Emalahleni
    Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • F. None of above.

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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a3188488190a1b7452ede91ba5e completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec89dc881908ca7a8a8849b87f7 completed March 27, 2026, 8:55 p.m.
NEDg Description generation batch_69c6f09ea58c8190bfd8a183581b5a5a completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a0935881908afc30ce76bdf76f completed March 27, 2026, 9:07 p.m.
Created at: March 22, 2026, 4:50 p.m.