Triple

T13981822
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Uganda E336328 entity
Predicate contains P35 FINISHED
Object Kabale District E1044328 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: Kabale District | Statement: [Southwestern Uganda, contains, Kabale District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabale District
Context triple: [Southwestern Uganda, contains, Kabale District]
  • A. Kabale District chosen
    Kabale District is an administrative district in southwestern Uganda known for its hilly terrain, cool climate, and proximity to Lake Bunyonyi.
  • B. Pallisa District
    Pallisa District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • C. Kotido District
    Kotido District is an administrative district in northeastern Uganda known for its predominantly pastoralist Karamojong communities and semi-arid landscape.
  • D. Kalomo District
    Kalomo District is an administrative district in southern Zambia known for its agricultural activities and proximity to national parks such as Kafue.
  • E. Rezina District
    Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda902c598819083c5373172ed758e completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 10:18 p.m.