Triple

T11596219
Position Surface form Disambiguated ID Type / Status
Subject Lusoga E275006 entity
Predicate hasEthnologueEntry P19233 FINISHED
Object Lusoga language
The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
 E935950 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: Lusoga language | Statement: [Lusoga, hasEthnologueEntry, Lusoga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lusoga language
Context triple: [Lusoga, hasEthnologueEntry, Lusoga language]
  • A. Nsenga language
    The Nsenga language is a Bantu language spoken primarily in Zambia and neighboring regions, closely related to other languages of the area such as Tumbuka and Chewa.
  • B. Mwaghavul language
    The Mwaghavul language is a West Chadic language spoken primarily in Plateau State, central Nigeria, by the Mwaghavul people.
  • C. Lugbara language
    The Lugbara language is a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and northeastern Democratic Republic of the Congo.
  • D. Ngindo language
    The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
  • E. Nyaturu language
    The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • 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: Lusoga language
Triple: [Lusoga, hasEthnologueEntry, Lusoga language]
Generated description
The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lusoga language
Target entity description: The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • A. Nsenga language
    The Nsenga language is a Bantu language spoken primarily in Zambia and neighboring regions, closely related to other languages of the area such as Tumbuka and Chewa.
  • B. Mwaghavul language
    The Mwaghavul language is a West Chadic language spoken primarily in Plateau State, central Nigeria, by the Mwaghavul people.
  • C. Lugbara language
    The Lugbara language is a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and northeastern Democratic Republic of the Congo.
  • D. Ngindo language
    The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
  • E. Nyaturu language
    The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946790d08190924d60bb4b523250 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7cad108819082eebb3ca130f5b8 completed April 22, 2026, 10:49 a.m.
NEDg Description generation batch_69e8af93e07c8190aecb040cac6db146 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b254a2081909cba97a6ecb10601 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.