Triple

T20071433
Position Surface form Disambiguated ID Type / Status
Subject Anomabu E499747 entity
Predicate languageSpoken P151 FINISHED
Object Fante NE NERFINISHED

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: Fante | Statement: [Anomabu, languageSpoken, Fante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fante
Context triple: [Anomabu, languageSpoken, Fante]
  • A. Fante people chosen
    The Fante people are a major Akan ethnic group from Ghana’s coastal region, known for their historic trading states, rich cultural traditions, and significant influence in Ghanaian politics and education.
  • 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. Ewe
    Ewe is a major Niger–Congo language spoken primarily in southeastern Ghana and southern Togo by the Ewe people.
  • E. Mòoré
    Mòoré is a major Gur language spoken primarily by the Mossi people in Burkina Faso and surrounding West African countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.