Triple

T4936743
Position Surface form Disambiguated ID Type / Status
Subject Kivu E110828 entity
Predicate hasCity P316 FINISHED
Object Bukavu
Bukavu is a major city in the eastern Democratic Republic of the Congo, located on the southwestern shore of Lake Kivu near the Rwandan border.
 E482939 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: Bukavu | Statement: [Kivu, hasCity, Bukavu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bukavu
Context triple: [Kivu, hasCity, Bukavu]
  • A. Gitega
    Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
  • B. Kigali
    Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
  • C. Mbandaka
    Mbandaka is a city in the northwestern Democratic Republic of the Congo, located on the Congo River and serving as a regional commercial and administrative center.
  • D. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • E. GOMA
    GOMA is a contemporary art museum known for showcasing modern and experimental artworks, often associated with major cultural institutions in cities like Brisbane and Glasgow.
  • 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: Bukavu
Triple: [Kivu, hasCity, Bukavu]
Generated description
Bukavu is a major city in the eastern Democratic Republic of the Congo, located on the southwestern shore of Lake Kivu near the Rwandan border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bukavu
Target entity description: Bukavu is a major city in the eastern Democratic Republic of the Congo, located on the southwestern shore of Lake Kivu near the Rwandan border.
  • A. Gitega
    Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
  • B. Kigali
    Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
  • C. Mbandaka
    Mbandaka is a city in the northwestern Democratic Republic of the Congo, located on the Congo River and serving as a regional commercial and administrative center.
  • D. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • E. GOMA
    GOMA is a contemporary art museum known for showcasing modern and experimental artworks, often associated with major cultural institutions in cities like Brisbane and Glasgow.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7085b1dc819099408f6503f0210f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c950388190a5a1ed856c4f0830 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8344b9208190a3288d519cfbbbc6 completed March 21, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69be83b2c5648190bc77cfb970de938a completed March 21, 2026, 11:40 a.m.
Created at: March 20, 2026, 1:30 p.m.