Triple

T23123947
Position Surface form Disambiguated ID Type / Status
Subject Mount Gahinga E576973 entity
Predicate nameLanguage P15 FINISHED
Object Rufumbira NE NERFINISHED

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: Rufumbira | Statement: [Mount Gahinga, nameLanguage, Rufumbira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rufumbira
Context triple: [Mount Gahinga, nameLanguage, Rufumbira]
  • A. Rufumbira chosen
    Rufumbira is a Bantu language variety spoken primarily in southwestern Rwanda, closely related to other Rwanda-Rundi dialects.
  • B. Rubaga
    Rubaga is a historic hill and neighborhood in Kampala, Uganda, known for hosting the Rubaga Cathedral and serving as a significant center of the Catholic Church in the country.
  • C. Mufulira
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • D. Rubirizi
    Rubirizi is a district in western Uganda known as a gateway to Queen Elizabeth National Park and its surrounding crater lakes and wildlife areas.
  • E. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5299c08190a578102cf2ff7080 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.