Triple

T11921659
Position Surface form Disambiguated ID Type / Status
Subject Masindi District E283670 entity
Predicate administrativeCenter P1474 FINISHED
Object Masindi town E330864 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: Masindi town | Statement: [Masindi District, administrativeCenter, Masindi town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masindi town
Context triple: [Masindi District, administrativeCenter, Masindi town]
  • A. Masindi chosen
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • B. Mbeya
    Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
  • C. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • D. Masindi District
    Masindi District is an administrative region in western Uganda known for its agricultural economy and proximity to major natural features, including the Victoria Nile and Murchison Falls National Park.
  • E. Mzanaki
    Mzanaki refers to a member of the Zanaki people, an ethnic group native to parts of Tanzania.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45891f9c081909250a0aa0f7448d2 completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:45 p.m.