Triple

T11253959
Position Surface form Disambiguated ID Type / Status
Subject Ngbaka language E266389 entity
Predicate hasDialects P4251 FINISHED
Object Ngbaka Minagende
Ngbaka Minagende is a dialect of the Ngbaka language spoken by Ngbaka communities in Central Africa.
 E914519 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: Ngbaka Minagende | Statement: [Ngbaka language, hasDialects, Ngbaka Minagende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngbaka Minagende
Context triple: [Ngbaka language, hasDialects, Ngbaka Minagende]
  • A. Ningol Chakouba
    Ningol Chakouba is a traditional Meitei festival in Manipur that celebrates and strengthens the bond between married daughters and their parental families through ceremonial feasting and reunion.
  • B. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • C. Ngeno-Ngene
    Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • 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: Ngbaka Minagende
Triple: [Ngbaka language, hasDialects, Ngbaka Minagende]
Generated description
Ngbaka Minagende is a dialect of the Ngbaka language spoken by Ngbaka communities in Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngbaka Minagende
Target entity description: Ngbaka Minagende is a dialect of the Ngbaka language spoken by Ngbaka communities in Central Africa.
  • A. Ningol Chakouba
    Ningol Chakouba is a traditional Meitei festival in Manipur that celebrates and strengthens the bond between married daughters and their parental families through ceremonial feasting and reunion.
  • B. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • C. Ngeno-Ngene
    Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc941d34819099ae30713bdd03e5 completed April 19, 2026, 12:37 p.m.
NEDg Description generation batch_69e4d9ec9964819084bd7118e49c41a2 completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddab4ef48190ab7f371da765c6c0 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.