Triple

T4532618
Position Surface form Disambiguated ID Type / Status
Subject Siege of Mafeking E106332 entity
Predicate location P40 FINISHED
Object Mafikeng
Mafikeng is a town in South Africa historically known as the site of the famous Siege of Mafeking during the Second Boer War.
 E450653 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: Mafikeng | Statement: [Siege of Mafeking, location, Mafikeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mafikeng
Context triple: [Siege of Mafeking, location, Mafikeng]
  • A. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • B. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • C. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • 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: Mafikeng
Triple: [Siege of Mafeking, location, Mafikeng]
Generated description
Mafikeng is a town in South Africa historically known as the site of the famous Siege of Mafeking during the Second Boer War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mafikeng
Target entity description: Mafikeng is a town in South Africa historically known as the site of the famous Siege of Mafeking during the Second Boer War.
  • A. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • B. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • C. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579f27ac8190ae9a4252109e56e1 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdace3a81c8190963ea65fa3df23c0 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdad6a522c8190a490347d3fe623e8 completed March 20, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_69bdadd612a48190b088fe6ac894dbb5 completed March 20, 2026, 8:28 p.m.
Created at: March 20, 2026, 1:03 p.m.