Triple

T12051781
Position Surface form Disambiguated ID Type / Status
Subject Nwoya District E286933 entity
Predicate borders P224 FINISHED
Object Gulu District E921739 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: Gulu District | Statement: [Nwoya District, borders, Gulu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulu District
Context triple: [Nwoya District, borders, Gulu District]
  • A. Gulu District chosen
    Gulu District is an administrative region in northern Uganda that serves as a cultural and historical center for the Acholi people.
  • B. Lamwo District
    Lamwo District is a rural administrative district in northern Uganda, historically part of the Acholi sub-region and home to a predominantly Acholi population.
  • C. Rachuonyo District
    Rachuonyo District was a former administrative district in Nyanza Province in western Kenya, known as the birthplace of Barack Obama Sr.
  • D. Kiryandongo District
    Kiryandongo District is a central Ugandan district known for its agricultural communities and strategic location along major transport routes between Kampala and northern Uganda.
  • E. Kiboga District
    Kiboga District is an administrative district in central Uganda known for its predominantly rural communities and agriculture-based economy.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.