Triple

T13655303
Position Surface form Disambiguated ID Type / Status
Subject Eastern Sudan E326844 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Hadendoa E217267 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: Hadendoa | Statement: [Eastern Sudan, hasEthnicGroup, Hadendoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadendoa
Context triple: [Eastern Sudan, hasEthnicGroup, Hadendoa]
  • A. Hadendoa chosen
    The Hadendoa are a subgroup of the Beja people of northeastern Africa, historically known as semi-nomadic pastoralists and sometimes referred to as the "Fuzzy-Wuzzy" warriors by 19th-century British soldiers.
  • B. Tisamenus
    Tisamenus is a figure in Greek mythology, traditionally known as a descendant of the royal house of Thebes and associated with the lineage of heroes involved in the wars of the Epigoni.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Adyumba
    Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
  • E. Hadariba
    Hadariba are an ethnic group of the Horn of Africa closely associated with the Beni-Amir people, sharing regional, cultural, and historical ties.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60ace048190a4b92310ba272bd1 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b03083c8190855a2a4ee44e4098 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.