Triple

T1556350
Position Surface form Disambiguated ID Type / Status
Subject Central Banda languages E33212 entity
Predicate languageFamily P1047 FINISHED
Object Ubangian
Ubangian is a proposed branch of the Niger-Congo (sometimes considered an independent) language family spoken primarily in the Central African Republic and neighboring regions.
 E178353 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: Ubangian | Statement: [Central Banda languages, languageFamily, Ubangian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ubangian
Context triple: [Central Banda languages, languageFamily, Ubangian]
  • A. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Ngäbe
    Ngäbe are an Indigenous people of Central America, primarily living in Panama and Costa Rica, known for their distinct Ngäbere language and rich cultural traditions.
  • D. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • E. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • 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: Ubangian
Triple: [Central Banda languages, languageFamily, Ubangian]
Generated description
Ubangian is a proposed branch of the Niger-Congo (sometimes considered an independent) language family spoken primarily in the Central African Republic and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ubangian
Target entity description: Ubangian is a proposed branch of the Niger-Congo (sometimes considered an independent) language family spoken primarily in the Central African Republic and neighboring regions.
  • A. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Ngäbe
    Ngäbe are an Indigenous people of Central America, primarily living in Panama and Costa Rica, known for their distinct Ngäbere language and rich cultural traditions.
  • D. Njuká
    Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • E. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908704d208190937af41c6454df4e completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401b98888190ad48fbfb6e075434 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40a795608190bcb4e0ac13417cc4 completed March 8, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69ad410ccb448190b8b6096096660d79 completed March 8, 2026, 9:27 a.m.
Created at: March 4, 2026, 7:27 p.m.