Triple

T9606386
Position Surface form Disambiguated ID Type / Status
Subject English in Uganda E231981 entity
Predicate coexistsWith P1867 FINISHED
Object Lugbara
Lugbara is a Central Sudanic language spoken primarily by the Lugbara people in northwestern Uganda and parts of the Democratic Republic of the Congo and South Sudan.
 E811275 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: Lugbara | Statement: [English in Uganda, coexistsWith, Lugbara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lugbara
Context triple: [English in Uganda, coexistsWith, Lugbara]
  • A. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • D. Silozi
    Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
  • E. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • 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: Lugbara
Triple: [English in Uganda, coexistsWith, Lugbara]
Generated description
Lugbara is a Central Sudanic language spoken primarily by the Lugbara people in northwestern Uganda and parts of the Democratic Republic of the Congo and South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lugbara
Target entity description: Lugbara is a Central Sudanic language spoken primarily by the Lugbara people in northwestern Uganda and parts of the Democratic Republic of the Congo and South Sudan.
  • A. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • D. Silozi
    Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
  • E. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18220a2308190aac7380c98f23965 completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d182db3ef481908a7e588aa35a7a3f completed April 4, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d183481f488190ab63f0bde2d5c6fc completed April 4, 2026, 9:31 p.m.
Created at: March 30, 2026, 8:08 p.m.