Triple

T9369267
Position Surface form Disambiguated ID Type / Status
Subject Wakiso District E225487 entity
Predicate contains P35 FINISHED
Object Nansana
Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
 E795091 NE FINISHED

How this triple was built (4 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: Nansana | Statement: [Wakiso District, contains, Nansana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nansana
Context triple: [Wakiso District, contains, Nansana]
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Sanyati
    Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
  • C. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • D. Ongwediva
    Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
  • E. Njoto
    Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nansana
Triple: [Wakiso District, contains, Nansana]
Generated description
Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nansana
Target entity description: Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
  • A. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • B. Sanyati
    Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
  • C. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • D. Ongwediva
    Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
  • E. Njoto
    Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
  • F. None of above. chosen

Provenance (5 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5080f55c8190bd5ca0dc0a4ea989 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f40961e88190b12ab78edbebd252 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f49e229c8190a91452591aee2414 completed April 4, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69d0f71220588190b97d8fce942fbf50 completed April 4, 2026, 11:33 a.m.
Created at: March 30, 2026, 7:43 p.m.