Triple

T5181964
Position Surface form Disambiguated ID Type / Status
Subject South Kivu E116941 entity
Predicate hasCity P316 FINISHED
Object Baraka
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
 E499763 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: Baraka | Statement: [South Kivu, hasCity, Baraka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baraka
Context triple: [South Kivu, hasCity, Baraka]
  • A. Shabaka
    Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
  • B. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • E. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • 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: Baraka
Triple: [South Kivu, hasCity, Baraka]
Generated description
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baraka
Target entity description: Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • A. Shabaka
    Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
  • B. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • E. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799bc58c819098a8e91e21baaef4 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
NEDg Description generation batch_69beda0419108190862d028a14227e8a completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69bedaa232ac81908c5ee2d4ba8cbcd7 completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:45 p.m.