Triple

T18198166
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Busoga E435713 entity
Predicate district P2709 FINISHED
Object Buyende District NE NERFINISHED

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: Buyende District | Statement: [Kingdom of Busoga, district, Buyende District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buyende District
Context triple: [Kingdom of Busoga, district, Buyende District]
  • A. Buyende District chosen
    Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
  • B. Hanang District
    Hanang District is an administrative district in northern Tanzania known for its agricultural communities and the prominent Mount Hanang.
  • C. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • D. Sawkai District
    Sawkai District is an administrative district located within Kunar Province in eastern Afghanistan, near the border with Pakistan.
  • E. Duji District
    Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.