Triple

T14857641
Position Surface form Disambiguated ID Type / Status
Subject Ratoma E349400 entity
Predicate hasLanguage P15 FINISHED
Object Fula E963454 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: Fula | Statement: [Ratoma, hasLanguage, Fula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fula
Context triple: [Ratoma, hasLanguage, Fula]
  • A. Fulani
    The Fulani are a large, traditionally pastoralist West African ethnic group spread across many countries, known for their nomadic cattle-herding culture, Islamic scholarship, and significant historical role in regional empires and trade.
  • B. 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.
  • C. Mandingo
    Mandingo is a Mande language spoken primarily by the Mandinka people across several West African countries, including Mali, Senegal, Gambia, and Guinea.
  • D. Guinean Fula chosen
    Guinean Fula is a regional variety of the Fula (Fulani) language spoken primarily in Guinea.
  • E. 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.
  • 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_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.