Triple

T18198168
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Busoga E435713 entity
Predicate district P2709 FINISHED
Object Kaliro 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: Kaliro District | Statement: [Kingdom of Busoga, district, Kaliro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaliro District
Context triple: [Kingdom of Busoga, district, Kaliro District]
  • A. Kaliro District chosen
    Kaliro District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • B. Nakapiripirit District
    Nakapiripirit District is an administrative district in northeastern Uganda, known for its predominantly Karamojong population and semi-arid, pastoralist landscape.
  • C. Rejoso District
    Rejoso District is an administrative district within Pasuruan Regency in East Java, Indonesia, known for its predominantly rural communities and agricultural activities.
  • D. Tongod District
    Tongod District is a rural administrative district in the interior of Sabah, Malaysia, characterized by its forested landscapes and river systems.
  • E. Ate District
    Ate District is a populous urban district in eastern Lima, Peru, known for its mix of industrial zones, residential areas, and major transportation routes connecting the capital with the central highlands.
  • 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.