Triple

T9697606
Position Surface form Disambiguated ID Type / Status
Subject 1980 Ugandan general election E234692 entity
Predicate languageOfCampaigning P11589 FINISHED
Object Luganda E56177 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: Luganda | Statement: [1980 Ugandan general election, languageOfCampaigning, Luganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luganda
Context triple: [1980 Ugandan general election, languageOfCampaigning, Luganda]
  • A. Luganda chosen
    Luganda is a major Bantu language spoken primarily in Uganda, serving as a key lingua franca and cultural language of the Baganda people.
  • B. Kitwe
    Kitwe is a major mining and industrial city in Zambia’s Copperbelt Province, known as one of the country’s largest urban and economic centers.
  • C. Tumbuka
    Tumbuka is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania.
  • D. Kinyankole language
    The Kinyankole language is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • E. Sukuma–Nyamwezi languages
    The Sukuma–Nyamwezi languages are a closely related group of Bantu languages spoken primarily in northwestern Tanzania by the Sukuma, Nyamwezi, and neighboring ethnic groups.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3c02e0819098d05c68805689f1 completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af8990608190a841c1fbdb22eb71 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:18 p.m.