Triple

T15945483
Position Surface form Disambiguated ID Type / Status
Subject Hadiyya language E386671 entity
Predicate hasAlternateName P39 FINISHED
Object Hadiyya Afo E1186077 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: Hadiyya Afo | Statement: [Hadiyya language, hasAlternateName, Hadiyya Afo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadiyya Afo
Context triple: [Hadiyya language, hasAlternateName, Hadiyya Afo]
  • A. Hadiyya Afoo chosen
    Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
  • B. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • C. Sainey Sidibeh
    Sainey Sidibeh is a music producer best known for his work on Wizkid’s acclaimed Afrobeats album "Made in Lagos."
  • D. Adanne Ebo
    Adanne Ebo is a film producer known for her work on the satirical comedy film "Honk for Jesus. Save Your Soul."
  • E. Ijesha
    Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3bfe72c819095f40a255bcd7ad5 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.