Triple

T14667104
Position Surface form Disambiguated ID Type / Status
Subject Central Province E344406 entity
Predicate hasTown P847 FINISHED
Object Mkushi
Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
 E1121978 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: Mkushi | Statement: [Central Province, hasTown, Mkushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mkushi
Context triple: [Central Province, hasTown, Mkushi]
  • A. Mankwe
    Mankwe is a locality in South Africa, historically part of the former Bophuthatswana homeland in the North West Province.
  • B. Moyo
    Moyo is a dialect of the Madi language spoken by the Madi people of Central Africa, particularly in parts of South Sudan and Uganda.
  • C. Moyo
    Moyo is a town in northern Uganda that serves as an administrative and commercial center near the border with South Sudan.
  • D. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • E. Mzembi
    Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
  • 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: Mkushi
Triple: [Central Province, hasTown, Mkushi]
Generated description
Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mkushi
Target entity description: Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • A. Mankwe
    Mankwe is a locality in South Africa, historically part of the former Bophuthatswana homeland in the North West Province.
  • B. Moyo
    Moyo is a dialect of the Madi language spoken by the Madi people of Central Africa, particularly in parts of South Sudan and Uganda.
  • C. Moyo
    Moyo is a town in northern Uganda that serves as an administrative and commercial center near the border with South Sudan.
  • D. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • E. Mzembi
    Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38857068819085e0d62829302abd completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe51446e7c8190ad8d3c1396e64a8e completed May 8, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe5192da448190869093360766e815 completed May 8, 2026, 9:11 p.m.
Created at: April 10, 2026, 1:27 a.m.