Triple

T14857846
Position Surface form Disambiguated ID Type / Status
Subject Maninka E349406 entity
Predicate hasLanguageFamily P1047 FINISHED
Object Mande E166201 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: Mande | Statement: [Maninka, hasLanguageFamily, Mande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mande
Context triple: [Maninka, hasLanguageFamily, Mande]
  • A. Mande chosen
    Mande is a major branch of the Niger-Congo language family comprising numerous related languages spoken across West Africa, particularly in countries like Mali, Guinea, and Sierra Leone.
  • B. Mòoré
    Mòoré is a major Gur language spoken primarily by the Mossi people in Burkina Faso and surrounding West African countries.
  • C. Mande peoples
    The Mande peoples are a large and diverse group of West African ethnic communities historically known for powerful empires like Mali and for their rich traditions in trade, music, and oral history.
  • D. Bambara
    Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
  • E. Mandingo
    Mandingo is a controversial 1975 American film set on a Southern slave plantation, known for its graphic depiction of slavery, racism, and sexual exploitation.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4f224c8190bb2e06203c9b3a94 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:54 a.m.