Triple

T14581510
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Uganda E342203 entity
Predicate hasMajorTown P316 FINISHED
Object Nebbi E961981 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: Nebbi | Statement: [Northwestern Uganda, hasMajorTown, Nebbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nebbi
Context triple: [Northwestern Uganda, hasMajorTown, Nebbi]
  • A. Nebbi chosen
    Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
  • B. Nebel
    Nebel is a small, picturesque village on the North Sea island of Amrum in Germany, known for its traditional thatched houses and coastal scenery.
  • C. Nebel
    Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
  • D. Naubise
    Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
  • E. Nebelstein
    Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.