Triple

T13843512
Position Surface form Disambiguated ID Type / Status
Subject Bushenyi E332729 entity
Predicate nearbyCity P350 FINISHED
Object Mbarara E1023322 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: Mbarara | Statement: [Bushenyi, nearbyCity, Mbarara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbarara
Context triple: [Bushenyi, nearbyCity, Mbarara]
  • A. Mbarara chosen
    Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
  • B. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • C. Kasese
    Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
  • D. Nsukwa
    Nsukwa is a town in Aniocha South Local Government Area of Delta State, Nigeria, known as one of the traditional Igbo communities in the region.
  • E. Nalubaale
    Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bbee14819082e1a381a5950e07 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:13 p.m.