Triple

T18074167
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Bunyoro E432509 entity
Predicate borderedBy P224 FINISHED
Object Ankole 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: Ankole | Statement: [Kingdom of Bunyoro, borderedBy, Ankole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankole
Context triple: [Kingdom of Bunyoro, borderedBy, Ankole]
  • A. Ankole chosen
    Ankole was a traditional kingdom and region in southwestern Uganda, historically inhabited by the Banyankole people and known for its distinctive long-horned cattle.
  • B. Samburu
    The Samburu are a semi-nomadic pastoralist people of northern Kenya, closely related to the Maasai and known for their cattle herding, age-set social system, and vibrant beadwork.
  • C. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • D. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • E. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.