Triple

T17107014
Position Surface form Disambiguated ID Type / Status
Subject David Kato E415126 entity
Predicate workLocation P7 FINISHED
Object Kampala, Uganda E40695 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: Kampala, Uganda | Statement: [David Kato, workLocation, Kampala, Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampala, Uganda
Context triple: [David Kato, workLocation, Kampala, Uganda]
  • A. Kampala chosen
    Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
  • B. Entebbe
    Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
  • C. Nalubaale
    Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
  • D. Mbarara
    Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
  • E. Bundibugyo District, Uganda
    Bundibugyo District, Uganda is a remote, rural district in western Uganda near the border with the Democratic Republic of the Congo, known for its proximity to the Rwenzori Mountains and as the site of a notable Ebola virus outbreak.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc280b0c8190b9e620b90e0d4b40 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a019540819083ce6100b24f8cfb completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.