Triple

T2392398
Position Surface form Disambiguated ID Type / Status
Subject Gaborone E48971 entity
Predicate hasSuburb P747 FINISHED
Object Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
 E266563 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: Mogoditshane | Statement: [Gaborone, hasSuburb, Mogoditshane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mogoditshane
Context triple: [Gaborone, hasSuburb, Mogoditshane]
  • 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. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. 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.
  • D. Emalahleni
    Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • E. 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.
  • 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: Mogoditshane
Triple: [Gaborone, hasSuburb, Mogoditshane]
Generated description
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mogoditshane
Target entity description: Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • 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. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. 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.
  • D. Emalahleni
    Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • E. 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.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3a3a2c8190a29b8ce47e40c3f8 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec423e6608190aff6b12d31c9f533 completed March 9, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69aec570ec88819089a2afc42aec1088 completed March 9, 2026, 1:04 p.m.
Created at: March 4, 2026, 7:57 p.m.