Triple

T9671705
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes Bantu languages E234044 entity
Predicate hasMember P10 FINISHED
Object Runyankore-Rukiga E275007 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: Runyankore-Rukiga | Statement: [Great Lakes Bantu languages, hasMember, Runyankore-Rukiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runyankore-Rukiga
Context triple: [Great Lakes Bantu languages, hasMember, Runyankore-Rukiga]
  • A. Runyankole chosen
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • B. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • C. Rakai District
    Rakai District is a rural administrative district in southern Uganda known for its agricultural economy and its early prominence in the country’s HIV/AIDS epidemic.
  • D. Nyanga District
    Nyanga District is an administrative district in northeastern Zimbabwe known for its mountainous landscapes and popular tourist attractions such as Nyanga National Park.
  • E. Rukiga
    Rukiga is a Bantu language spoken primarily by the Bakiga people in southwestern 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6949108190b699442e5c2aacf9 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f70597c81909d461b3d935b02a5 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:15 p.m.