Triple

T2655032
Position Surface form Disambiguated ID Type / Status
Subject Buvuma Island E53987 entity
Predicate languageUsed P238 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: [Buvuma Island, languageUsed, Lusoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusoga
Context triple: [Buvuma Island, languageUsed, Lusoga]
  • A. Lusoga chosen
    Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • B. Nungua
    Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
  • C. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • D. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • E. Mvita
    Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd933ec008190aef1442460c4cfbc completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d325ec819097d7f80a28343687 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.