Triple

T13876595
Position Surface form Disambiguated ID Type / Status
Subject Karamoja region E333598 entity
Predicate contains P35 FINISHED
Object Abim District E999447 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: Abim District | Statement: [Karamoja region, contains, Abim District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abim District
Context triple: [Karamoja region, contains, Abim District]
  • A. Abim District chosen
    Abim District is an administrative district in northeastern Uganda known for its predominantly rural communities and location within the country’s Karamoja sub-region.
  • B. Buvuma District
    Buvuma District is an administrative district in Uganda that encompasses Buvuma Island and surrounding islands in Lake Victoria.
  • C. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • D. Urambo District
    Urambo District is an administrative district in western Tanzania known for its rural communities and tobacco farming, located within the Tabora Region.
  • E. Magu District
    Magu District is an administrative district in northern Tanzania, located within the Mwanza Region along the southern shores of Lake Victoria.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2df73c8190aeb6f472ac7ebeed completed May 8, 2026, 5:52 a.m.
Created at: April 9, 2026, 10:15 p.m.