Triple

T13077728
Position Surface form Disambiguated ID Type / Status
Subject Uganda Wildlife Authority E329620 entity
Predicate shortName P43 FINISHED
Object UWA
UWA is the acronym for the Uganda Wildlife Authority, the government agency responsible for managing and conserving Uganda’s wildlife and protected areas.
 E1020047 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: UWA | Statement: [Uganda Wildlife Authority, shortName, UWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UWA
Context triple: [Uganda Wildlife Authority, shortName, UWA]
  • A. UWA
    UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
  • B. UWA
    UWA is a regional public university in Livingston, Alabama, known for its programs in education, liberal arts, and natural sciences.
  • C. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • D. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • E. UW
    UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
  • 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: UWA
Triple: [Uganda Wildlife Authority, shortName, UWA]
Generated description
UWA is the acronym for the Uganda Wildlife Authority, the government agency responsible for managing and conserving Uganda’s wildlife and protected areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UWA
Target entity description: UWA is the acronym for the Uganda Wildlife Authority, the government agency responsible for managing and conserving Uganda’s wildlife and protected areas.
  • A. UWA
    UWA is a leading Australian public research university based in Perth, known for its strong academic programs and sandstone campus.
  • B. UWA
    UWA is a regional public university in Livingston, Alabama, known for its programs in education, liberal arts, and natural sciences.
  • C. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • D. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • E. UW
    UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60aaac48190b5b724a19cad5279 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6da9ed7bc8190b1a451ea2ada811d completed May 3, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6db6950b08190a868c9371ff0a34e completed May 3, 2026, 5:21 a.m.
Created at: April 9, 2026, 9:01 p.m.