Triple

T516899
Position Surface form Disambiguated ID Type / Status
Subject Mutare E10728 entity
Predicate hasSuburb P747 FINISHED
Object Sakubva
Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
 E69955 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: Sakubva | Statement: [Mutare, hasSuburb, Sakubva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakubva
Context triple: [Mutare, hasSuburb, Sakubva]
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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: Sakubva
Triple: [Mutare, hasSuburb, Sakubva]
Generated description
Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakubva
Target entity description: Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • A. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • B. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f184c3a481909bf60bb627b0ea88 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b6d1088190a925b1b3d78e9674 completed March 2, 2026, 1:36 a.m.
NEDg Description generation batch_69a4ea2b7aa88190b448885292f4a552 completed March 2, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69a4eaaba7c48190b5a8ab2a3b3b3ce6 completed March 2, 2026, 1:40 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.