Triple

T13981866
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Uganda E336328 entity
Predicate languageSpoken P151 FINISHED
Object Rukiga E705636 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: Rukiga | Statement: [Southwestern Uganda, languageSpoken, Rukiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rukiga
Context triple: [Southwestern Uganda, languageSpoken, Rukiga]
  • A. Rukiga chosen
    Rukiga is a Bantu language spoken primarily by the Bakiga people in southwestern Uganda.
  • B. Kisoro
    Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
  • C. Nabulungi
    Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
  • D. Rukungiri
    Rukungiri is a town in southwestern Uganda that serves as a regional center and gateway to nearby attractions such as Queen Elizabeth National Park.
  • E. Rutooro
    Rutooro is a Bantu language spoken primarily by the Tooro people in western Uganda.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:18 p.m.