Triple

T14195744
Position Surface form Disambiguated ID Type / Status
Subject Mandinka language E351830 entity
Predicate closelyRelatedTo P37 FINISHED
Object Bambara language E28452 NE FINISHED

How this triple was built (2 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: Bambara language | Statement: [Mandinka language, closelyRelatedTo, Bambara language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bambara language
Context triple: [Mandinka language, closelyRelatedTo, Bambara language]
  • A. Zarma language
    The Zarma language is a widely spoken Nilo-Saharan language of West Africa, primarily used in Niger and neighboring countries, and serves as a major lingua franca in the region.
  • B. Koyraboro Senni language
    The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
  • C. Guinean Fula
    Guinean Fula is a regional variety of the Fula (Fulani) language spoken primarily in Guinea.
  • D. Guéré language
    The Guéré language is a Kru language spoken primarily by the Guéré (Wè) people of western Côte d'Ivoire and eastern Liberia.
  • E. Bambara chosen
    Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.