Triple

T12015237
Position Surface form Disambiguated ID Type / Status
Subject Busoga sub-region E286006 entity
Predicate language P15 FINISHED
Object Lusoga E275006 NE FINISHED

How this triple was built (2 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 | Statement: [Busoga sub-region, language, Lusoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusoga
Context triple: [Busoga sub-region, language, Lusoga]
  • A. Lusoga chosen
    Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • B. Kalambo
    Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
  • C. Lugazi
    Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
  • D. Nungua
    Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d4156ec8190bfc6d1180ac41d06 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.