Triple

T10865308
Position Surface form Disambiguated ID Type / Status
Subject Geita town E256511 entity
Predicate roadConnectionTo P9041 FINISHED
Object Bukoba E637685 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: Bukoba | Statement: [Geita town, roadConnectionTo, Bukoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukoba
Context triple: [Geita town, roadConnectionTo, Bukoba]
  • A. Bukoba chosen
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • B. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • C. Uvira
    Uvira is a city in the eastern Democratic Republic of the Congo, located on the northern shores of Lake Tanganyika near the border with Burundi.
  • D. Bukoto
    Bukoto is a residential and commercial neighborhood in Kampala, Uganda, known for its mix of middle-class housing, local businesses, and proximity to several of the city’s prominent suburbs.
  • E. Namutoni
    Namutoni is a historic former German fort turned tourist rest camp and lodge located on the eastern side of Etosha National Park in Namibia.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516cebe881909ed358a7641f6a12 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154cc97f88190aef41d18b5ebe836 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.