Triple

T13077866
Position Surface form Disambiguated ID Type / Status
Subject Nyakalengija E329624 entity
Predicate languageSpoken P151 FINISHED
Object Lukonzo
Lukonzo is a Bantu language spoken primarily by the Bakonzo people in the Rwenzori region of western Uganda and parts of the Democratic Republic of the Congo.
 E1020052 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: Lukonzo | Statement: [Nyakalengija, languageSpoken, Lukonzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lukonzo
Context triple: [Nyakalengija, languageSpoken, Lukonzo]
  • A. Lukula
    Lukula is a town located in the Kongo Central Province of the Democratic Republic of the Congo.
  • B. Raklungu
    Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
  • C. Kisolongo
    Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
  • D. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • E. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • 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: Lukonzo
Triple: [Nyakalengija, languageSpoken, Lukonzo]
Generated description
Lukonzo is a Bantu language spoken primarily by the Bakonzo people in the Rwenzori region of western Uganda and parts of the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lukonzo
Target entity description: Lukonzo is a Bantu language spoken primarily by the Bakonzo people in the Rwenzori region of western Uganda and parts of the Democratic Republic of the Congo.
  • A. Lukula
    Lukula is a town located in the Kongo Central Province of the Democratic Republic of the Congo.
  • B. Raklungu
    Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
  • C. Kisolongo
    Kisolongo is a regional dialect of the Kikongo language spoken by Kongo communities in parts of Central Africa.
  • D. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • E. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • 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.