Triple

T11575140
Position Surface form Disambiguated ID Type / Status
Subject Ngbandi language E274483 entity
Predicate hasDialect P4251 FINISHED
Object Yakoma E923591 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: Yakoma | Statement: [Ngbandi language, hasDialect, Yakoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakoma
Context triple: [Ngbandi language, hasDialect, Yakoma]
  • A. Yakoma chosen
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • B. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • C. Yokadouma
    Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
  • D. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • E. Yamanto
    Yamanto is a residential suburb in the City of Ipswich, Queensland, Australia, known for its family-friendly housing estates and growing retail and service amenities.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.