Triple

T11303280
Position Surface form Disambiguated ID Type / Status
Subject Gonja language E267649 entity
Predicate alternateName P39 FINISHED
Object Ngbanyito
Ngbanyito is an alternate name for the Gonja language, a Niger-Congo language spoken primarily in northern Ghana.
E918701 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: Ngbanyito | Statement: [Gonja language, alternateName, Ngbanyito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngbanyito
Context triple: [Gonja language, alternateName, Ngbanyito]
  • A. Ngbaka Gbaya
    Ngbaka Gbaya is a dialect of the Ngbaka language spoken by the Ngbaka Gbaya people in parts of Central Africa.
  • B. Mbanza-Ngungu
    Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Nwangele
    Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
  • E. Bamangwato
    Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
  • 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: Ngbanyito
Triple: [Gonja language, alternateName, Ngbanyito]
Generated description
Ngbanyito is an alternate name for the Gonja language, a Niger-Congo language spoken primarily in northern Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ngbanyito
Target entity description: Ngbanyito is an alternate name for the Gonja language, a Niger-Congo language spoken primarily in northern Ghana.
  • A. Ngbaka Gbaya
    Ngbaka Gbaya is a dialect of the Ngbaka language spoken by the Ngbaka Gbaya people in parts of Central Africa.
  • B. Mbanza-Ngungu
    Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Nwangele
    Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
  • E. Bamangwato
    Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525b4bdb88190b22d64eb65e97d9d completed April 19, 2026, 6:57 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e5319b6ef0819096debabfb6ffbe70 completed April 19, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:32 p.m.