Triple

T12040120
Position Surface form Disambiguated ID Type / Status
Subject Bangala E286636 entity
Predicate hasAlternativeName P39 FINISHED
Object Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
 E961854 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: Ngala | Statement: [Bangala, hasAlternativeName, Ngala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngala
Context triple: [Bangala, hasAlternativeName, Ngala]
  • A. Nggela
    Nggela is an Oceanic language spoken by the Nggela (Florida) Islands communities in the Central Province of the Solomon Islands.
  • B. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • C. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • D. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • E. Enyeama
    Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
  • 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: Ngala
Triple: [Bangala, hasAlternativeName, Ngala]
Generated description
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngala
Target entity description: Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • A. Nggela
    Nggela is an Oceanic language spoken by the Nggela (Florida) Islands communities in the Central Province of the Solomon Islands.
  • B. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • C. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • D. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • E. Enyeama
    Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.