Triple

T7276490
Position Surface form Disambiguated ID Type / Status
Subject Marakele National Park E163041 entity
Predicate near P350 FINISHED
Object Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
 E657540 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: Thabazimbi | Statement: [Marakele National Park, near, Thabazimbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thabazimbi
Context triple: [Marakele National Park, near, Thabazimbi]
  • A. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • 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: Thabazimbi
Triple: [Marakele National Park, near, Thabazimbi]
Generated description
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thabazimbi
Target entity description: Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
  • A. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • D. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb2f239c819097c1ac4d6de8b0e5 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eed8c5448190b83faee62f8122de completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 2:59 p.m.