Triple

T2031945
Position Surface form Disambiguated ID Type / Status
Subject Entebbe Botanical Gardens E44536 entity
Predicate locatedIn P40 FINISHED
Object Entebbe E44536 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: Entebbe | Statement: [Entebbe Botanical Gardens, locatedIn, Entebbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entebbe
Context triple: [Entebbe Botanical Gardens, locatedIn, Entebbe]
  • A. Entebbe chosen
    Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
  • B. Kampala
    Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
  • C. Mukono
    Mukono is a town in central Uganda that serves as the administrative and commercial center of Mukono District, located just east of the capital Kampala.
  • D. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • E. Gwanda
    Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9313134819088133fb69b8f606f completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58bffa30819099409ff59f844a9c completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:38 p.m.