Triple

T15876446
Position Surface form Disambiguated ID Type / Status
Subject Sara people E384963 entity
Predicate traditionalLanguage P6149 FINISHED
Object Ngambay
Ngambay is a Central Sudanic language spoken primarily in Chad and neighboring regions, serving as a major lingua franca among the Sara and related ethnic groups.
 E1181607 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: Ngambay | Statement: [Sara people, traditionalLanguage, Ngambay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngambay
Context triple: [Sara people, traditionalLanguage, Ngambay]
  • A. Ngambela
    Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
  • B. Mudjimba
    Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • E. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • 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: Ngambay
Triple: [Sara people, traditionalLanguage, Ngambay]
Generated description
Ngambay is a Central Sudanic language spoken primarily in Chad and neighboring regions, serving as a major lingua franca among the Sara and related ethnic groups.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngambay
Target entity description: Ngambay is a Central Sudanic language spoken primarily in Chad and neighboring regions, serving as a major lingua franca among the Sara and related ethnic groups.
  • A. Ngambela
    Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
  • B. Mudjimba
    Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • E. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffab1d8f0881908ead340c4b913a76 completed May 9, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69ffab8c79588190adf87fcec328985a completed May 9, 2026, 9:47 p.m.
Created at: April 10, 2026, 4:51 a.m.